47th week of 2021 patent applcation highlights part 53 |
Patent application number | Title | Published |
20210366053 | PARAMETRIC INSTRUMENTS AND METHODS RELATING TO GEOGRAPHICAL AREA BUSINESS INTERRUPTION - A parametric instrument having a cost and a payout is administered relating to business interruption of an instrument holder. Administration includes measuring economic activity in a plurality of commerce zones using objective data over a period of time, and determining conditions of whether the economic activity in one of the plurality of commerce zones drops by a predefined percentage relative to others of the plurality of commerce zones, whether the economic activity drop is unpredictable, and whether the economic activity drop is sustained over a predefined period of time. When the conditions are satisfied, the payout is automatically paid to the instrument holder. | 2021-11-25 |
20210366054 | SYSTEM AND METHOD FOR EMBEDDING A DATA ANALYTICS SYSTEM IN A THIRD PARTY NATIVE ENVIRONMENT - A data processing and analytics system for processing financial related data includes a financial data processing unit that is secured by a security layer. The financial data processing unit and the security layer are embedded in a company native environment. The company has a plurality of data sources for providing raw financial data that is filtered by the security layer prior to transfer to the financial data processing unit. The financial data processing unit includes a raw data storage unit for storing the raw financial data, and a data processing unit for processing the raw financial data via one or more preloaded audit applications. The processed financial data is then employed to generate one or more financial reports that are then transferred to the financial expert externally of the company. | 2021-11-25 |
20210366055 | SYSTEMS AND METHODS FOR GENERATING ACCURATE TRANSACTION DATA AND MANIPULATION - In a system and method for auditing transactions where a set of image based transactions are received over a communications network, and stored in a central data store, the set of image based transactions are associated with a unique identifier associated with a user. A transaction format is identified from the set of image based transactions, utilizing a processor to apply a preprocessing to the set of image based transaction based on the identifying. The preprocessed image based transactions are processed into a series of text based transactions, wherein each image based transaction has a related text based transactions and each text based transaction has a plurality of data representing the transaction. The plurality of data for each text based transaction is stored and a quality identifier is associated with each text based transaction. An identifier is applied to a text based transaction based on the quality identifier. | 2021-11-25 |
20210366056 | SYSTEM AND METHODS FOR BUILDING A DIGITAL ASSET BASED SOCIAL MEDIA APPLICATION AND REWARD PLATFORM - The present disclosure relates to blockchain and social media, and more specifically, to a unified engagement platform that incentivizes blockchain use and provides avenues for companies to foster brand loyalty amongst consumers. In accordance with aspects and embodiments, a method of facilitating blockchain use is provided. The method comprises providing a social media platform in communication with a blockchain and providing each user of the platform with a blockchain account. Social media influencers and creators, brands, and retailer users of the platform, referred to as partners, are provisioned with a set of digital collectibles having value and are provided with tools to create additional digital collectibles. A partner's digital collectibles are distributed to non-partner users on the platform that support the partner, users referred to as supporters. Supporters may obtain digital collectibles by purchasing them, by engaging in social media activity that benefits the partner, offering the digital collectible, or digital collectibles may be offered by partners as contest and sweepstakes prizes. The platform uses the blockchain for the construction, management, and distribution of all digital collectibles, and each time a digital collectible is created or distributed, a transaction must be posted to the blockchain to complete the distribution. | 2021-11-25 |
20210366057 | INFORMATION SHARING SUPPORT DEVICE AND INFORMATION SHARING SUPPORT SYSTEM - An information sharing support device supports sharing of a plurality of pieces of sharing target information related to the development and the manufacture of a manufacturing target apparatus, the information sharing support device including: a tagging unit for attaching a tag selected from a plurality of tags to each of the plurality of pieces of sharing target information; and a sharing target information managing unit for managing the plurality of pieces of sharing target information in association with each other on the basis of the tag attached to each of the plurality of pieces of sharing target information, wherein the plurality of pieces of sharing target information includes basic sharing target information and additional sharing target information that is additionally input to the basic sharing target information by a staff member at a manufacturing site of the manufacturing target apparatus, and a tag attached to the additional sharing target information includes a tag attached to the basic sharing target information that corresponds to the additional sharing target information. | 2021-11-25 |
20210366058 | SYSTEM AND METHOD FOR ACQUISITION AND MANAGEMENT OF DATA FOR MULTIPLE LISTING SERVICES - In one or more embodiments, a system and method for acquiring and managing new home data and corresponding multiple listing service listings includes a database for storing plan profiles, geographical community profiles, MLS listing records, builder profiles, and MLS metadata. A dashboard generator produces a dynamic web-based dashboard operable to provide access to the plan, builder and community profiles and the MLS records for adding, viewing or updating records by a homebuilder. A listing generator pre-populates MLS listing fields with data extracted from the plan, builder, and community profiles. A posting engine transfers new and updated MLS listings to an MLS. Homebuilders may provide an extensible markup language data feed for further pre-population and automation of MLS listings. | 2021-11-25 |
20210366059 | FARM MANAGEMENT SYSTEM AND MANAGEMENT METHOD THEREOF - A farm management system and a management method thereof, wherein the management method includes the following steps: step | 2021-11-25 |
20210366060 | FARM LEASE SYSTEM AND LEASE MANAGEMENT METHOD - A farm lease system and a lease management method that enables a user to lease a farmable area to grow a crop. The farm lease system includes a leasing unit ( | 2021-11-25 |
20210366061 | MANAGING BUILDING INFORMATION AND RESOLVING BUILDING ISSUES - Disclosed herein are systems and methods for identifying issues in a building. In one aspect, a method includes receiving information describing an issue with a building, accessing data that identifies (i) a plurality of components that are included in the building and (ii) features of the plurality of components, identifying one or more candidate components that have at least a threshold likelihood of being a cause of the issue, and performing some action in response to remedy the issue. For example, the method can include selecting a candidate service provider from among a plurality of service providers based on a comparison of (i) the one or more candidate components and (ii) information identifying technical qualifications for the plurality of service providers, transmitting a service request for the issue to the candidate service provider, receiving a response from the candidate service provider, and scheduling, based on the response, a service appointment. | 2021-11-25 |
20210366062 | ENERGY SCORING - Techniques are described for energy scoring of a monitored property and users of the monitored property. A system provides users with information related to the efficiency of the monitored property and aggregates data over multiple monitored properties. The system computes and outputs a score for a monitored property that reflects efficiency of the property and/or the users of the property. The system may track how that score changes through time, and how it relates to neighboring properties. The score may be expressed as both a number and a percentile. | 2021-11-25 |
20210366063 | SYSTEMS AND METHODS OF USING GEOLOCATION VERIFICATION - Systems and methods for displaying one or more submissions are described. One such exemplar method includes: (i) accepting, from a client device associated with a reviewer, a representation of the reviewer's presence at a represented location; (ii) receiving location coordinates of a location-enabled device when the reviewer represents being present at the represented location and the location-enabled device is proximate and/or in possession of the reviewer; (iii) deeming the reviewer as an authorized reviewer of the represented location if the location coordinates of the location-enabled device are within a predefined threshold area around the represented location when the reviewer represents being present at the represented location; and (v) causing to be displayed, on one or more of the client devices, one or more submissions relating to the represented location received from the authorized reviewer of the represented location. | 2021-11-25 |
20210366064 | MODEL FOR REPRESENTING ONLINE OWNERSHIP INFORMATION - A method for representing online content item ownership information is provided. The method includes receiving information identifying a first content item and a first owner, and generating a first data object associating the first content item with the first owner. A plurality of data objects is maintained, including the first data object comprising first descriptive data, and a second data object comprising second descriptive data associating a second content item and a second owner. The method generates a first reconciled data object responsive to determining that the first content item corresponds to the second content item and that the first owner and the second owner are different. The method determines degree of overlap between third descriptive data associated with a third content item and the reconciled data objects maintained in the data store. The third data object is associated with the reconciled data object with the highest degree of overlap. | 2021-11-25 |
20210366065 | CONTRACT RECOMMENDATION PLATFORM - A contract platform may receive, from data structures, historical contract data; read, from the historical contract data, numerical categorical data; process the numerical categorical data, with one or more artificial intelligence models, to convert the numerical categorical data into vector format; generate a taxonomy in vector format based on the converted numerical categorical data; read, from the historical contract data, nonnumerical noncategorical data; process the nonnumerical noncategorical data, with the models, to convert the nonnumerical noncategorical data into vector format; generate a knowledge graph in vector format based on the converted nonnumerical noncategorical data. The contract platform may receive a request that includes data identifying a new contract to be created; identify, in the taxonomy and in the knowledge graph, similar contracts; determine similarity scores between the data identifying the new contract and data identifying the similar contracts; and provide the similarity scores and the similar contracts. | 2021-11-25 |
20210366066 | METHOD AND SYSTEM FOR SCHEDULING A VIRTUAL CLASS - A method and a system for matching a student with a tutor for a virtual class are presented. Candidate tutors for the virtual class are identified in real-time based on a student's preferences and desired class times. The desired class time may be “now” or “immediately.” Once a match is made, the virtual class proceeds at the scheduled time. | 2021-11-25 |
20210366067 | SYSTEM AND METHOD FOR AUTHORING AND EDITING CURRICULA AND COURSES - A computer-enabled system and related method to enable a user to edit, author and implement educational curricula and associated coursework. The system includes a content identification and parsing into instructional objects function, an instructional object organization function, a tool and template configuration function and a data gathering and analysis function. The instructional object organization function is configured to organize the instructional objects through metadata tags into a complete course content, wherein the organization of the instructional objects is modifiable. The invention enables its users to customize components of courses; i.e., lessons, objects, objectives, sequences, and the like, while remaining within requirement parameters. The invention assembles and sequences these lessons and lesson components into coherent tailored courses. It also enables sharing and distribution of those courses in digital and/or print formats. | 2021-11-25 |
20210366068 | SYSTEMS AND METHODS FOR LOCATION FENCING WITHIN A CONTROLLED ENVIRONMENT - Methods and systems for providing location fencing within a controlled environment are disclosed herein. A location fencing server determines a location of a first inmate based on a first beacon device, and determines a location of a second inmate based on a second beacon device. Further, the location fencing server determines a proximity status based on the location of the first inmate and the location of the second inmate. Additionally, the location fencing server determines that the first inmate and the second inmate are in violation of a proximity policy based on the proximity status. In some embodiments, the location fencing server sends a notification to an employee device based on the violation of a proximity policy. | 2021-11-25 |
20210366069 | DEVICE, SYSTEM AND METHOD FOR ELECTRONICALLY REQUESTING AND STORING MISSING DIGITAL EVIDENTIARY ITEMS - A device, system and method for electronically requesting and storing missing digital evidentiary items is provided. A dashboard computing device: receives, from distinct jurisdictional agency computing devices, indications of jurisdictional digital evidentiary items associated with an incident; determines, based on an incident type of the incident, one or more offenses associated with the incident type; determines required digital evidentiary items to prosecute the offenses via a digital offenses-to-evidentiary-items mapping; identifies a missing digital evidentiary item for prosecuting the offenses by: comparing the indications of the jurisdictional digital evidentiary items with the required digital evidentiary items; identifies a jurisdictional agency, associated with one or more of the distinct jurisdictional agency computing devices, that is most likely to have access to the missing digital evidentiary item; and renders, at a display screen, an actuatable option for electronically requesting the missing digital evidentiary item from the jurisdictional agency. | 2021-11-25 |
20210366070 | SYSTEM AND METHOD OF PROVIDING A NATIONWIDE CHILD PROTECTION DATABASE - A system and method for providing a social services database, and more specifically, a system and method for providing a nationwide child protection reporting database is disclosed. The system includes a report uploader receiving and processing an incoming child protection report received from remote state data sources, a report correlator for searching the nationwide child protection reporting database for matching records based upon listed individuals in the incoming child protection report, a database search engine, a database inserter/updater for inserting child protection reports received from the report updater and for updating existing data records identified by the report correlator, and an agent query processor for searching the nationwide child protection reporting database for matching records based upon a search query received from a user. A pair of records are considered to be a match when a listed individual in each record references the same party. | 2021-11-25 |
20210366071 | SYSTEMS AND METHODS FOR SAFE SOCIAL GATHERINGS DURING A CONTAGIOUS PANDEMIC - The disclosure is generally directed to systems and methods for obtaining and evaluating a test result report in real-time so as to determine an entry status of an individual into the establishment. In an example embodiment, a method involves an entry verification apparatus executing actions such as: receiving digital data associated with the individual; obtaining a test result report that provides an indication whether the individual is currently infected, previously infected, or not infected, by a viral pathogen; evaluating digital data and/or a machine-readable element of the test result report to verify an identity of the individual and an authenticity of the test result report; converting non-standardized information contained in the test result report into standardized information; obtaining entry requirements for enabling entry into the establishment; analyzing the standardized information to determine whether entry requirements are met; and determining an entry status based on the entry requirements being met. | 2021-11-25 |
20210366072 | SYSTEM AND METHOD FOR SITUATIONAL AWARENESS ASSIST VIEW - Embodiments described herein relate to a threat detection system that shows a user an incident as it develops in real time by leveraging artificial intelligence (AI) to more accurately focus cameras and highlight the areas of concern within those feeds, providing a much more efficient user interface to the operator. These annotated feeds and feed focused triggering events can also be connected to third party systems. This timeline of events and evidence (small annotated clip of detection when available) is archived and can be reviewed at a later date, containing an accurate timeline of the incident as it progressed. | 2021-11-25 |
20210366073 | SIGNAL ENCODING FOR DIFFICULT ENVIRONMENTS - This disclosure relates to advanced image signal processing technology including encoded signals and digital watermarking. We disclose methods, systems and apparatus for selecting which ink(s) should be selected to carry an encoded signal for a given machine-vision wavelength for a retail package or other printed design. We also disclose retail product packages and other printed objects, and methods to generate such, including a sparse mark in a first ink and an overprinted ink flood in a second ink. The first ink and the second ink are related through tack and spectral reflectance difference. Of course, other methods, packages, objects, systems and apparatus are described in this disclosure. | 2021-11-25 |
20210366074 | DIGITAL WATERMARKING - In one example, a method for inserting a digital watermark in a signal includes obtaining the signal comprising a plurality of frames, inserting a first digital watermark in a first frame of the plurality of frames, inserting a second digital watermark in a second frame of the plurality of frames, wherein the second digital watermark differs from the first digital watermark in at least one way selected from a group of: a location within a respective frame, a number of bits, a pattern of bits, and a number of bits of a noise, and outputting a watermarked signal including the first digital watermark in the first frame and the second digital watermark in the second frame. | 2021-11-25 |
20210366075 | OUTPUTTING WARPED IMAGES FROM CAPTURED VIDEO DATA - In one embodiment, a method includes generating an outputted sequence of warped images from a captured sequence of images. Using this captured sequence of images, a computing system may determine one or more three-dimensional locations of object features and a corresponding camera position for each image in the captured sequence of images. Utilizing the camera positions for each image, the computing system may determine a view path representing the perspective of a virtual camera. The computing system may identify one or more virtual camera positions for the virtual camera located on the view path, and subsequently warp one or more images from the sequence of captured images to represent the perspective of the virtual camera at each of the respective virtual camera positions. This results in a sequence of warped images that may be outputted for viewing and interaction on a client device. | 2021-11-25 |
20210366076 | METHOD AND APPARATUS FOR PROCESSING IMAGE - Techniques for processing an image are described herein. The disclosed techniques include a target human body image is acquired, and a skeleton key point data set is determined from the target human body image. Based on the skeleton key point data set, a target region in the target human body image is determined, and for each of pixel points comprised in the target region, performing coordinate transformation is performed on the pixel point, to generate a transformed coordinate of the pixel point. With the embodiment, different coordinate transformations may be performed on pixel points of different regions in the target human body image, thereby improving flexibility of performing the coordinate transformation on the pixel points. | 2021-11-25 |
20210366077 | WARPING FOR SPATIAL LIGHT MODULATING DISPLAYS USING EYE TRACKING - Embodiments shifts the color fields of a rendered image frame based on the eye tracking data (e.g. position of the user's pupils). An MR device obtains a first image frame having a set of color fields. The first image frame corresponds to a first position of the pupils of the viewer. The MR device then determines a second position of the pupils of the viewer based on, for example, data receive from an eye tracking device coupled to the MR device. The MR device generates, based on the first image frame, a second image frame corresponding to the second position of the pupils. The second image frame is generated by shifting color fields by a shift value based on the second position of the pupils of the viewer. The MR device transmits the second image frame to a display device of the MR device to be displayed thereon. | 2021-11-25 |
20210366078 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING SYSTEM - An image processing device includes a memory that stores instructions, and a processor that, when executing the instructions stored in the memory, performs a process. The process includes: averaging an input image in units of N×M pixels (N, M: an integer of 2 or larger) in a spatial direction for each grid composed of one pixel or a plurality of pixels, the input image being composed of (S×T) pixels (S, T: a positive integer) having an information amount of a (a: a power of 2) bits per pixel, and defining an averaging result in units of N×M pixels for each pixel or grid by an information amount of (a+b) bits per pixel (b: an integer of 2 or larger) and generating a reduced image composed of (S×T)/(N×M) pixels having the information amount of (a+b) bits per pixel. A value of b is an exponent c (c: a positive integer) of a power value of 2 close to (N×M), or (c+1). | 2021-11-25 |
20210366079 | TEMPORAL SUPERSAMPLING FOR FOVEATED RENDERING SYSTEMS - Methods and systems are provided for using temporal supersampling to increase a displayed resolution associated with peripheral region of a foveated rendering view. A method for enabling reconstitution of higher resolution pixels from a low resolution sampling region for fragment data is provided. The method includes an operation for receiving a fragment from a rasterizer of a GPU and for applying temporal supersampling to the fragment with the low resolution sampling region over a plurality of prior frames to obtain a plurality of color values. The method further includes an operation for reconstituting a plurality of high resolution pixels in a buffer that is based on the plurality of color values obtained via the temporal supersampling. Moreover, the method includes an operation for sending the plurality of high resolution pixels for display. | 2021-11-25 |
20210366080 | METHOD FOR OPTIMIZING HARDWARE STRUCTURE OF CONVOLUTIONAL NEURAL NETWORKS - A method for optimizing a hardware structure of a convolutional neural network including: searching an initial feature value group by which a final convolution layer located at a final stage among a plurality of convolution layers, setting an initial fusing network by analyzing a feature value group having a size corresponding to the initial feature value group; computing an operation time for each layer by allocating the number of operators corresponding to the size of the feature value group to each of the plurality of convolution layers, and dividing the size of the feature value group by determining a layer having a minimum operation time; resetting the fusing network by changing the size of the feature value group, determining the size of the feature value group having the smallest number of operators, determining the number of operators to be included in each of the plurality of convolution layers. | 2021-11-25 |
20210366081 | SUPER-RESOLUTION METHOD AND DEVICE USING LINEWISE OPERATION - An image processing method and apparatus using a line unit operation is disclosed. The image processing apparatus includes a receiver configured to receive an image, at least one first line buffer configured to output the received image to be an image line of a line unit, a first convolution operator configured to generate a feature map by performing a convolution operation based on the output image line, and a feature map processor configured to store the generated feature map as at least one line unit and process the feature map stored as the line unit to be output in a two-dimensional (2D) form. | 2021-11-25 |
20210366082 | Neural Super-sampling for Real-time Rendering - In one embodiment, a method includes receiving a first frame associated with a first time and one or more second frames of a video having a resolution lower than a target resolution, wherein each second frame is associated with a second time prior to the first time, generating a first feature map for the first frame and one or more second feature maps for the one or more second frames, up-sampling the first feature map and the one or more second feature maps to the target resolution, warping each of the up-sampled second feature maps according to a motion estimation between the associated second time and the first time, and generating a reconstructed frame having the target resolution corresponding to the first frame by using a machine-learning model to process the up-sampled first feature map and the one or more up-sampled and warped second feature maps. | 2021-11-25 |
20210366083 | PICTURE PROCESSING METHOD AND DEVICE - The present disclosure provides a picture processing method and device, including: an integrated circuit chip IC receiving a to-be-processed picture sent by a graphics processor GPU; the IC pre-processing the to-be-processed picture; the IC performing counter-distortion process on the pre-processed picture; and the IC outputting the picture which is subjected to the counter-distortion process for display. | 2021-11-25 |
20210366084 | DEBLURRING PROCESS FOR DIGITAL IMAGE PROCESSING - Aspects of the present disclosure relate to QCFA deblurring. An example method includes obtaining an image to be processed and determining an average of pixel values between a first one or more pixels and a second one or more pixels of the image. The second one or more pixels neighbor the first one or more pixels. The method also includes determining a difference between pixel values of the first one or more pixels and the second one or more pixels, generating one or more weights based on the average and the difference, and combining the average and the difference based on the one or more weights to generate a deblurred pixel value. A processed image includes one or more deblurred pixel values. | 2021-11-25 |
20210366085 | CONTROL APPARATUS, CONTROL METHOD, AND STORAGE MEDIUM - A control apparatus includes: a control unit that controls an image capturing device and an illumination device that includes multiple light sources, and obtains a first number of reference images corresponding to the first number of the light sources being less than the multiple light sources; and a generation unit that generates correction data for correcting illuminance unevenness of a target image based on the first number of the reference images, which is obtained by capturing an image of a measurement target object different from the reference object while turning on a light source of interest out of the multiple light sources. The generation unit generates the correction data corresponding to a light source not included in the first number of the light sources by carrying out interpolation processing while using at least two reference images out of the first number of the reference images. | 2021-11-25 |
20210366086 | METHOD FOR IMAGE PROCESSING, IMAGE SIGNAL PROCESSOR IN TERMINAL DEVICE - A methods and apparatuses for image processing are provided. The method may include acquiring initial image data from an image sensor. The method may further include deconstructing the initial image data in a plurality of image pyramid layers. The method may further include collapsing a first image pyramid layer with a second image pyramid layer in order to create an intermediate layer. The method may further include collapsing the intermediate layer with the subsequent image pyramid layer to create a new intermediate layer and generating the final image based on the new intermediate layer and a last image pyramid layer. A tone-mapping operator is applied to at least one of the intermediate layers. | 2021-11-25 |
20210366087 | IMAGE COLORIZING METHOD AND DEVICE - An image colorizing method and device are provided, which relate to the field of image processing technology. The method includes acquiring a grayscale image to be colorized, classifying the grayscale image to determine the grayscale image is a human face image or a human image, providing the grayscale image to a neural network based image colorizing model corresponding to the type of the grayscale image to obtain color information for respective pixels in the grayscale image. The image colorizing model is a human face image colorizing model if the grayscale image is a human face image, the image colorizing model is a human image colorizing model if the grayscale image is a human image. The method further includes synthesizing the grayscale image and the color information to obtain a color image. | 2021-11-25 |
20210366088 | METHOD FOR PROCESSING PICTURE OF AUTOMATIC DRIVING VEHICLE - Disclosed herein is a method for processing a picture of an automatic driving vehicle. The method for processing a picture of an automatic driving vehicle according to an embodiment of the present disclosure includes obtaining a first image from a camera while a vehicle on which the camera is driving, generating a prediction signal for predicting a sign of occurrence of White-Out from the first image, when a quantity of light which is a threshold brightness or higher from the first image, storing the first image during a first period when the prediction signal is generated, and predicting and correcting a second image based on the first image stored during the first period and a correction model, when the second image in which the White-Out occurs in the first image is detected on a specific time during the first period, and the correction model is a result of learning the second image by processing high dynamic range (HDR) image. At least one of the automatic driving vehicle according to the present disclosure, a user terminal and a server may be linked with artificial intelligence, robot, Augmented Reality (AR), virtual reality (VR), and the like. | 2021-11-25 |
20210366089 | IMAGE STITCHING DEVICE AND IMAGE STITCHING METHOD - An image stitching method includes: receiving a first image and a second image; determining that both the first image and the second image include a target object; obtaining a first brightness value and a second brightness value, the first brightness value being a brightness value of the target object in the first image, and the second brightness value being a brightness value of the target object in the second image; adjusting a brightness value of the first image and a brightness value of the second image according to the first brightness value and the second brightness value, so as to obtain a first image to be stitched and a second image to be stitched; and stitching the first image to be stitched and the second image to be stitched to obtain a first stitched image. | 2021-11-25 |
20210366090 | SYSTEMS AND METHODS FOR HIGH THROUGHPUT FOAM ANALYSIS - A system for high throughput foam analysis includes a foam generation system, an illumination source, a detection system and an analysis system. A foam generation system includes a first plurality of foaming units, each foaming unit including a foaming chamber and a gas induction mechanism. The illumination source provides an illumination to the foaming chamber of each foaming unit. The detection system includes a first camera configured to temporally record the foaming process in each foaming unit, thereby producing a first plurality of frames. The analysis system includes: at least one processor, and a memory including instructions for (i) obtaining a first respective frame in the first plurality of frames; (ii) segmenting the first respective frame into a first plurality of segmented images, and (iii) extracting, from each segmented image, one or more characteristics of the foam, thereby facilitating high throughput foam analysis of the first plurality of solutions. | 2021-11-25 |
20210366091 | MOBILE INGREDIENT ANALYSIS SYSTEM, AND METHOD FOR TRUE-TO-SAMPLE MEASUREMENT AND USER GUIDANCE BY MEANS OF SAME - A method for true-to-sample measurement by a mobile ingredient analysis system having a housing with a window, an interface for an external reference unit, a display and operating unit, a light source, an optical spectrometer, a camera, an internal reference unit, and an electronic control unit. The method includes: selecting a calibration product suitable for a sample to be examined; performing a plausibility check of the calibration product, an incorrect selection being signaled and an alternative calibration product being selected; outputting measurement conditions comprising the measurement point to be selected and measurement duration for the selected calibration product; capturing measured values of the sample by the spectrometer under the measurement conditions and with simultaneous monitoring of the measurement conditions; processing the captured measured values by means of an electronic control unit, each measured value captured while the measurement conditions were met being declared valid; outputting the measured values deemed valid. | 2021-11-25 |
20210366092 | SYSTEMS AND METHODS FOR MANAGING PHYSICAL CONNECTIONS OF A CONNECTOR PANEL - A device may receive, from a user device, connector panel information associated with a connector panel. The connector panel may provide a connection, via a port, for a service of a network. The device may receive an image that depicts a physical configuration of the connector panel. The device may process, using a port analysis model, the image to identify a port status of a port of the connector panel. The device may determine, based on the port status, that the port is available for the connection. The device may provide, to the user device, instructions for using the port for the connection. The device may obtain a verification that the connection has been established via the port. The device may perform one or more actions associated with providing the service. | 2021-11-25 |
20210366093 | DEFECT DETECTION OF A COMPONENT IN AN ASSEMBLY - A system for validating installation correctness of a component in a test assembly includes a housing having a platform including a tiered surface. The tiered surface forms an abutment surface configured as a stop against which a test assembly is abutted. A plurality of cameras is positioned to capture different views of the test assembly. A processing device is configured to execute instructions to capture an image from each of the plurality of cameras of the test assembly that includes a plurality of components. Each of the plurality of components is analyzed within each image of the plurality of images. A matching score is determined and an indication of whether the plurality of components was correctly installed in the test assembly is generated. | 2021-11-25 |
20210366094 | DEFECT DETECTION AND IMAGE COMPARISON OF COMPONENTS IN AN ASSEMBLY - A method is disclosed that includes receiving, by a processing device, a plurality of images of a test assembly. The processing device selects a component in the test assembly and an image of the plurality of images of the test assembly as received. For the component as selected and the image as selected, the processing device compares a plurality of portions of the image as selected to a corresponding plurality of portions of a corresponding profile image and computing a matching score for each of the plurality of portions. The processing device selects a largest matching score from the matching score for each of the plurality of portions as a first matching score for the component as selected and the image as selected. The first matching score is stored for the component as selected and the image as selected. | 2021-11-25 |
20210366095 | IMAGE ANALYSIS ARCHITECTURE EMPLOYING LOGICAL OPERATIONS - An analysis tool receives an image as an input matrix. A first convolutional kernel is determined by performing exclusive nor operations between the input matrix and a first weight vector. A first binary kernel is determined based on the first convolutional kernel. A first layer feature map is determined by convoluting the input matrix using the first binary kernel. A second convolutional kernel is determined by performing exclusive nor operations between the first layer feature map and the second weight vector. A pooled kernel is determined based on the second convolutional kernel. A second binary kernel is determined, based on the pooled kernel. A second layer feature map is determined by convoluting the first layer feature map using the second binary kernel. A probability is determined that the input matrix is associated with a predetermined class of images. If the probability is greater than a threshold, classification results are provided. | 2021-11-25 |
20210366096 | HAZARD DETECTION ENSEMBLE ARCHITECTURE SYSTEM AND METHOD - A system and method is disclosed that may employ a set of ensemble methods that comprise a plurality of machine learning algorithms or statistical algorithms for hazard detection. The system and method may combine images, stereo and context information using a plurality of deep learning algorithms to accurately detection hazards. The system and method may incorporate a depth channel to the red, green, and blue (RGB) channels of an image to create a four-channel RGBD image. The system and method may also overlay an RGB image with a color-map of the depth channel. The system and method may further concatenate regions of interest (ROI) to the RGB channels of an image. Lastly, the system and method may incorporate an auxiliary semantic segmentation decoder for a multi-task learning event on a drivable space. | 2021-11-25 |
20210366097 | SYSTEM AND METHOD OF OPERATION FOR REMOTELY OPERATED VEHICLES FOR AUTOMATIC DETECTION OF STRUCTURE INTEGRITY THREATS - The present invention provides a system and method of automatic detection of structure integrity threats. A threat detection engine detects integrity threats in structures, such as underwater structures, and segments the structures in an image using convolutional neural networks (“CNN”). The threat detection engine may include a dataset module, a CNN training module, a segmentation map module, a semi-supervision module, and an efficiency module. The threat detection engine may train a deep learning model to detect anomalies in videos. To do so, a dataset module with videos may be used where the dataset module includes annotations detailing at what timestamps one or more anomalies are visible. | 2021-11-25 |
20210366098 | ARTIFICIAL INTELLIGENCE BASED REGISTRATION SUPPORT FOR ENVIRONMENTAL SCANS - A method for automatically determining quality of registration of landmarks includes training an artificial intelligence (AI) system to detect inaccurate registration of landmarks. Training the AI system uses training data that includes scans of an environment captured by a 3D measuring device from corresponding scan points. A first scan is registered with at least a second scan based on one or more landmarks captured in the first scan and the second scan. Further, a model is created to identify incorrect registration by analyzing the training data. The analysis detects a mismatch in a first instance of a landmark in the first scan and a second instance of said landmark in the second scan. The model is then used to evaluate registration of landmarks in live data, the live data including a set of scans, the result identifying accuracy level of the registration of landmarks. | 2021-11-25 |
20210366099 | TECHNIQUES FOR IMAGE CONTENT EXTRACTION - Various embodiments are generally directed to techniques for image content extraction. Some embodiments include extracting contextually structured data from document images, such as by automatically identifying document layout, document data, document metadata, and/or correlations therebetween in a document image, for instance. Several embodiments include extracting contextually structured data from table images, such as gridded and non-gridded tables. For example, the contents of cells may be extracted from a table image along with structural context including the corresponding row and column information. Many embodiments are directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. Several embodiments are directed to automatically identifying and associating document metadata with corresponding document data in a document image to generate a machine-facilitated annotation of the document image. In some embodiments, the machine-facilitated annotation may be used to generate a template for the template database. | 2021-11-25 |
20210366100 | BALE SHAPE MONITORING SYSTEM - A bale monitoring system includes an imaging device that is operable to capture a stereoscopic image of a bale. A computing compares the stereoscopic image of the bale to a three-dimensional standard to identify a deviation of the bale from the three-dimensional standard. The computing device may then assign the bale a shape quality score based on the deviation of the bale from the three-dimensional standard. The shape quality score may indicate a magnitude of the deviation of the bale from the three-dimensional standard. Additionally, the stereoscopic image may be analyzed to identify characteristics of the bale, such as a broken wrap material or an improperly formed bale. | 2021-11-25 |
20210366101 | SYSTEMS, METHODS, STORAGE MEDIA, AND COMPUTING PLATFORMS FOR SCANNING ITEMS AT THE POINT OF MANUFACTURING - Systems, methods, storage media, and computing platforms for scanning items at the point of manufacturing are disclosed. Exemplary implementations may: receive a first set of images of an item from a first set of camera sources; detect a code in the first set of images; combine, responsive to detecting the code, along a second axis perpendicular to the first axis, the first set of images into a first set of combined images; rotate parallel to the first axis; and combine along the first axis. | 2021-11-25 |
20210366102 | INSPECTION APPARATUS OF WAFER - An inspection apparatus includes a measurement device disposed to be spaced apart from an upper surface of a wafer, an image capturing device configured to capture an image of at least a portion of the measurement device and at least a portion of the upper surface of the wafer, a memory storing an algorithm to measure a distance between the measurement device and the upper surface of the wafer based on the image, and a controller configured to measure the distance between the measurement device and the upper surface of the wafer based on the algorithm, wherein the image includes a measurement region in which the measurement device is displayed, a wafer region in which the wafer is displayed, and a reflective region in which the measurement device being reflected on the upper surface of the wafer is displayed, and wherein the wafer region and the reflective region overlap with each other. | 2021-11-25 |
20210366103 | MODE SELECTION AND DEFECT DETECTION TRAINING - A system may be configured for joint defect discovery and optical mode selection. Defects are detected during a defect discovery step. The discovered defects are accumulated into a mode selection dataset. The mode selection dataset is used to perform mode selection to determine a mode combination. The mode combination may then be used to train the defect detection model. Additional defects may then be detected by the defect detection model. The additional defects may then be provided to the mode selection dataset, for further performing mode selection and training the defect detection model. One or more run-time modes may then be determined. The system may be configured for mode selection and defect detection at an image pixel level. | 2021-11-25 |
20210366104 | SYSTEMS AND METHODS FOR MENU DIRECTED INSPECTION - A non-destructive testing (NDT) system can provide a tree model of an inspection on a display of an NDT device and on a web page configured in a web browser on a computing device coupled to the NDT device. Inspection data acquired using the NDT device can be provided in real-time as the inspection data is associated with a node configured in the tree model. The NDT system can generate an inspection tree model based on an inspection template including a template tree model. Defect properties, inspection instructions, and/or image transforms can be applied to nodes of the template tree model such that the generated inspection tree model includes the applied defect properties, inspection instructions, and/or image transforms, which can then be applied to the inspection data acquired at the inspection point location corresponding to each node. | 2021-11-25 |
20210366105 | A SYSTEM AND METHOD FOR DIAGNOSING POTENTIAL DISEASES FROM PHOTO AND VIDEO DATA AND INFORMING THE USER - The present invention relates to a system and method for diagnosing potential diseases by making facial analysis via image processing techniques from photo and video data available in cloud storing unit and informing the user. | 2021-11-25 |
20210366106 | SYSTEM WITH CONFIDENCE-BASED RETROACTIVE DISCREPANCY FLAGGING AND METHODS FOR USE THEREWITH - A system operates by receiving a plurality of medical scans, a plurality of medical labels corresponding to the plurality of medical scans and a plurality of confidence scores corresponding to the plurality of medical labels, wherein each of the plurality of medical labels correspond to one of a set of abnormality classes and wherein the plurality of confidence scores indicate a quantified representation of uncertainty generated via natural language processing of a plurality of medical reports corresponding to the plurality of medical labels; generating a computer vision model by training on the plurality of medical scans and the plurality of medical labels, wherein a model confidence of the computer vision model is calibrated based on the plurality of confidence scores; receiving a new medical scan; generating inference data corresponding to the new medical scan utilizing the computer vision model, wherein the inference data indicates an inferred abnormality in the new medical scan and the model confidence corresponding to the inferred abnormality; and facilitating display of the inference data via an interactive interface. | 2021-11-25 |
20210366107 | SENSITIVITY ANALYSIS FOR DIGITAL PATHOLOGY - The ability to obtain and digitise pathology samples (such as in histopathology or cytopathology) has opened up the possibility of accurate and automated computer operated analysis, or computer-assisted analysis, when diagnosing a wide range of medical conditions. A typical digital pathology image analysis pipeline involves a large number of image pre-processing and processing operations. Small changes in the parameters used in these algorithms might lead to significant changes in the eventual pathological finding. Accordingly, the present application proposes to perform a sensitivity analysis on a digital pathology image analysis pipeline to assess the sensitivity of a given pathology result to changes of parameters in the digital pathology image analysis pipeline. | 2021-11-25 |
20210366108 | SYSTEMS AND METHODS FOR SEGMENTATION AND MEASUREMENT OF A SKIN ABNORMALITY - A method is proposed for identifying (“segmenting”) at least one portion of the skin of an animal which is a region of interest (e.g. a portion which is subject to an abnormality such as a tumor). The method uses at least a temperature dataset obtained by measuring the temperature of each of a plurality of points of a region of the skin. An initial segmentation may be performed using the temperature data based on a statistical model, in which each point is segmented based on its temperature and optionally that of its neighbors. The initial segmentation based on the temperature data may be improved using a three-dimensional model of the profile of the skin, and the enhanced segmentation may be used to improve the three-dimensional model. | 2021-11-25 |
20210366109 | GROUP SPARSITY MODEL FOR IMAGE UNMIXING - Systems and methods described herein relate, among other things, to unmixing more than three stains, while preserving the biological constraints of the biomarkers. Unlimited numbers of markers may be unmixed from a limited-channel image, such as an RGB image, without adding any mathematical complicity to the model. Known co-localization information of different biomarkers within the same tissue section enables defining fixed upper bounds for the number of stains at one pixel. A group sparsity model may be leveraged to explicitly model the fractions of stain contributions from the co-localized biomarkers into one group to yield a least squares solution within the group. A sparse solution may be obtained among the groups to ensure that only a small number of groups with a total number of stains being less than the upper bound are activated. | 2021-11-25 |
20210366110 | MEDICAL IMAGE PROCESSING APPARATUS, PROCESSOR DEVICE, ENDOSCOPE SYSTEM, MEDICAL IMAGE PROCESSING METHOD, AND PROGRAM - A medical image processing apparatus includes a recognition unit that detects a region of interest from an acquired medical image and classifies the region of interest; a display control unit that causes emphasis display for emphasizing the region of interest and a classification for the region of interest to be displayed in a screen identical to a screen for displaying an observation target included in the medical image; and an observation image switching unit that switches whether to display consecutive images or to display a still image by using a display device. In a case where consecutive image display of an observation image is switched to still image display by the observation image switching unit, the display control unit makes a change for reducing visual recognizability of at least any of the emphasis display or the classification compared with a case of the consecutive image display of the observation image. | 2021-11-25 |
20210366111 | SYSTEMS, METHODS, AND DEVICES FOR MEDICAL IMAGE ANALYSIS, DIAGNOSIS, RISK STRATIFICATION, DECISION MAKING AND/OR DISEASE TRACKING - The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters. | 2021-11-25 |
20210366112 | SYSTEMS, METHODS, AND DEVICES FOR MEDICAL IMAGE ANALYSIS, DIAGNOSIS, RISK STRATIFICATION, DECISION MAKING AND/OR DISEASE TRACKING - The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters. | 2021-11-25 |
20210366113 | SYSTEMS, METHODS, AND DEVICES FOR MEDICAL IMAGE ANALYSIS, DIAGNOSIS, RISK STRATIFICATION, DECISION MAKING AND/OR DISEASE TRACKING - The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters. | 2021-11-25 |
20210366114 | SYSTEMS, METHODS, AND DEVICES FOR MEDICAL IMAGE ANALYSIS, DIAGNOSIS, RISK STRATIFICATION, DECISION MAKING AND/OR DISEASE TRACKING - The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters. | 2021-11-25 |
20210366115 | SYSTEMS, METHODS, AND DEVICES FOR MEDICAL IMAGE ANALYSIS, DIAGNOSIS, RISK STRATIFICATION, DECISION MAKING AND/OR DISEASE TRACKING - The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters. | 2021-11-25 |
20210366116 | SYSTEMS, METHODS, AND DEVICES FOR MEDICAL IMAGE ANALYSIS, DIAGNOSIS, RISK STRATIFICATION, DECISION MAKING AND/OR DISEASE TRACKING - The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters. | 2021-11-25 |
20210366117 | SYSTEM FOR FACILITATING MEDICAL IMAGE INTERPRETATION - A system for facilitating medical image interpretation includes a processing unit and a display control unit. The processing unit includes a location information module generating a reference location indicator, and a feature marking module generating indication markers. The display control unit is in signal connection with the processing unit and a display device. The display control unit includes an image displaying module controlling the display device to display tissue images, and an auxiliary information displaying module controlling the display device to display, for each of the tissue images displayed by the display device, the reference location indicator and the indication markers together on the tissue image. | 2021-11-25 |
20210366118 | INTRAOPERATIVE IMAGING AND VIRTUAL MODELING METHODS, SYSTEMS, AND INSTRUMENTALITIES FOR FRACTURE REDUCTION - A method of evaluating a bone fracture reduction includes imaging, intraoperatively, a fractured bone to obtain a representation of the fractured bone in a computing system. The fractured bone defines at least first and second bone fragments separated by a fracture. The method includes imaging a contralateral bone of the patient to obtain a representation of the contralateral bone in the computing system and further includes generating, intraoperatively in the computing system, a virtual model of the fractured bone from data presented in the representation of the fractured bone and a virtual model of the contralateral bone from data presented in the representation of the contralateral bone. The method includes comparing, intraoperatively in the computing system, a spatial dimension measured with respect to the virtual model of the fractured bone with a corresponding spatial dimension measured with respect to the virtual model of the contralateral bone. | 2021-11-25 |
20210366119 | METHOD OF ENRICHMENT OF A DIGITAL DENTAL MODEL - Method of enrichment of a reference model to be enriched representing a dental arch. Acquisition, under first real conditions, of a current image of the arch displaying one region. Exploration of the reference model in such a manner as to determine a first view of the reference model, in a first direction of observation the reference image exhibiting a maximum match with the current image. Determination, by comparison of the images, of a first orphan point represented on the current image and not represented on the reference image when the current image is in a first register position in which it is superposed, in the space of the reference model, with the reference image. Addition, in the reference model, of a point on a first straight line parallel to the first direction of observation and passing through the first orphan point in the first register position. | 2021-11-25 |
20210366120 | MEDICAL IMAGE PROCESSING APPARATUS, AND MEDICAL IMAGING APPARATUS - In medical examination of breast cancer, a lesion computer-aided detection is performed in real time and with high accuracy, and a burden on a medical worker is reduced. A medical image processing apparatus that processes a medical image includes: a detection unit configured to detect a lesion candidate region; a validity evaluation unit configured to evaluate validity of the lesion candidate region by using a normal tissue region corresponding to the detected lesion candidate region; and a display unit configured to determine display content to a user by using an evaluation result. | 2021-11-25 |
20210366121 | IMAGE MATCHING METHOD AND DEVICE, AND STORAGE MEDIUM - Disclosed are an image matching method, an image matching device, and a storage medium. A first image sequence and a second image sequence are acquired, and thus a first object and a second object are reconstructed and generated based on the first image sequence and the second image sequence respectively. The registration of the first object and the second object are further performed, and a mapping relationship obtained according to a registration result may indicate a correspondence between image frames in the first image sequence and image frames in the second image sequence. Compared with setting a difference value artificially, obtaining the correspondence between image frames in the first image sequence and image frames in the second image sequence by using the image matching method improves the matching accuracy. | 2021-11-25 |
20210366122 | Method and apparatus for segmenting G-banded adhered chromosome based on geometrical characteristic and regional fusion, and chromosome karyotype analysis device - Provided are a method and an apparatus for segmenting a G-banded adhered chromosome based on a geometrical characteristic and regional fusion, and a chromosome karyotype analysis device. The method first extracts concave points of an outline of an adhered chromosome region, then cuts an adhered chromosome image via a cutting line formed by the concave points in pairs, and at last carries out a fusion operation on a local cut region and selects a most appropriate region as a final single chromosome region. The method implements automatic segmentation of an adhered chromosome and improves the chromosome karyotype analysis efficiency. | 2021-11-25 |
20210366123 | AI-BASED IMAGE REGION RECOGNITION METHOD AND APPARATUS AND AI-BASED MODEL TRAINING METHOD AND APPARATUS - A computer device obtains a to-be-segmented image that includes a plurality of extreme points corresponding to a target object in the to-be-segmented image. The device generates first image feature information according to the to-be-segmented image. The first image feature information includes N image matrices and a first heatmap that is generated according to the extreme points. The device obtains a first image segmentation region corresponding to the first image feature information using a first image segmentation model. The device also obtains a second heatmap according to an annotation point corresponding to the first image segmentation region and the first image segmentation region. The device obtains a second image segmentation region corresponding to the to-be-segmented image using a second image segmentation model. The device generates an image recognition result according to the second image segmentation region. | 2021-11-25 |
20210366124 | GRAPHICAL FIDUCIAL MARKER IDENTIFICATION - In various examples, image data may be received that represents an image. Corner detection may be used to identify pixels that may be candidate corner points. The image data may be converted from a higher dimensional color space to a converted image in a lower dimensional color space, and boundaries may be identified within the converted image. A set of the candidate corner points may be determined that are within a threshold distance to one of the boundaries, and the set of the candidate corner points may be analyzed to determine a subset of the candidate corner points representative of corners of polygons. Using the subset of the candidate corner points, one or more polygons may be identified, and a filter may be applied to the polygons to identify a polygon as corresponding to a fiducial marker boundary of a fiducial marker. | 2021-11-25 |
20210366125 | METHODS OF SEGMENTING AN ABDOMINAL IMAGE, COMPUTER APPARATUSES, AND STORAGE MEDIUMS - Methods of segmenting an abdominal image, computer apparatuses and storage mediums. The method includes acquiring an abdominal image to be examined; and classifying pixels in the abdominal image to be examined based on a trained full convolution neural network, and determining a segmented image corresponding to the abdominal image to be examined, wherein the trained full convolution neural network is trained and determined based on a first training set and a second training set, the first training set includes first sample abdominal images and pixel classification label images corresponding to the first sample abdominal images, the second training set includes second sample abdominal images and the number of pixels of second sample abdominal images correspondingly belong to each class. Through the methods herein, the accuracy of the segmentation can be improved. | 2021-11-25 |
20210366126 | IMAGE SEGMENTATION METHOD AND APPARATUS, MODEL TRAINING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM - This application relates to an image segmentation method and apparatus. The method includes obtaining a current frame and historical affine transformation information transmitted by a previous video frame in a video frame sequence; performing affine transformation on the current frame according to the historical affine transformation information to obtain a candidate region image corresponding to the current frame; performing feature extraction on the candidate region image to obtain a feature map corresponding to the candidate region image; performing semantic segmentation based on the feature map to obtain a segmentation result corresponding to a target in the current frame; and revising the historical affine transformation information according to the feature map to obtain updated affine transformation information, and using the updated affine transformation information as historical affine transformation information corresponding to a subsequent video frame in the video frame sequence. | 2021-11-25 |
20210366127 | IMAGE PROCESSING METHOD AND APPARATUS, COMPUTER-READABLE STORAGE MEDIUM - Embodiments of this disclosure include a method and an apparatus for processing image. The method may include obtaining a to-be-processed image and performing image semantic segmentation on the to-be-processed image to obtain a semantically-segmented image. The semantically-segmented image may include a target region and a non-target region obtained through the semantic segmentation. The method may further include performing pose recognition on the to-be-processed image, to obtain a pose-recognized image recognizing skeletal region. The method may further include fusing the target region and the non-target region of the semantically-segmented image with the skeletal region of the pose-recognized image, to obtain a trimap comprising foreground region, background region, and recognition region. The method may further include generating, according to the to-be-processed image and the trimap, a transparency mask image for separating image from the to-be-processed image. | 2021-11-25 |
20210366128 | APPARATUS AND METHOD FOR TRAINING MODEL FOR IMAGE SEGMENTATION - An image segmentation model training apparatus according to a disclosed embodiment includes a predictor, which generates a plurality of original masks using an unlabeled original image set and a pre-trained image segmentation model, a label generator, which generates a synthesized image set based on the original image set and the plurality of original masks, and generates a plurality of pseudo labels based on the synthesized image set, a pre-processor, which generates a training image set by performing pseudo labeling on the original image set and the synthesized image set using the plurality of pseudo labels, and a model trainer, which further trains the image segmentation model based on the training image set. | 2021-11-25 |
20210366129 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - An image processing apparatus determines, based on results of extracting a foreground area from a captured image by learning, a threshold value that is used for generation of a foreground image based on a difference between the captured image and a background image corresponding to the captured image. The image processing apparatus generates a foreground image based on a difference between the captured image and the background image by using the determined threshold value.p | 2021-11-25 |
20210366130 | TRAJECTORY DATA PROCESSING METHOD AND DEVICE, AND STORAGE MEDIUM - A trajectory data processing method is provided to a trajectory data apparatus. The method includes: obtaining trajectory data in a target geographical range, the trajectory data including moving trajectories of a plurality of moving objects, generating a feature map layer of the trajectory data, the feature map layer at least including a trajectory flow map layer, a moving speed map layer, and a travel direction map layer, fusing map layers in the feature map layer to obtain a fused feature map layer; displaying the fused feature map layer; and in response to obtaining a selection instruction of any pixel position on the fused feature map layer, displaying a trajectory flow at the pixel position and a moving speed and a travel direction of a moving object at the pixel position. | 2021-11-25 |
20210366131 | IMAGE TRACKING APPARATUS - An image tracking apparatus, which tracks a subject in a moving image, comprising: an image acquisition device that acquires image data indicating the moving image; a first detector that detects a first area of a subject in acquired image data to track the first area in the moving image; a second detector that detects a second area of a subject in the image data to track the second area in the moving image; and a controller that tracks the subject by switching between a tracking result of the first detector and a tracking result of the second detector. The first and the second detector operate independently. The controller tracks the subject using the tracking result of the first detector when the first area is tracked, and tracks the subject using the tracking result of the second detector when the first area is not tracked and the second area is tracked. | 2021-11-25 |
20210366132 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM STORING IMAGE PROCESSING PROGRAM - An image processing device includes processing circuitry to record each of the captured images in a storage device while associating the captured image with identification information on the image capturing device that captured the captured image and time information indicating an image capture time; to calculate an estimated movement amount of each of the image capturing devices; and repeatedly to execute a deviation correction process, wherein in regard to each of the image capturing devices, the processing circuitry acquires the captured images in a designated period from the storage device, obtains movement amounts in adjacent image periods based on captured images arranged in chronological order, and obtains the estimated movement amount by calculation using the movement amounts in the adjacent image periods. | 2021-11-25 |
20210366133 | IMAGE FRAME PREDICTION METHOD, IMAGE FRAME PREDICTION APPARATUS AND HEAD DISPLAY APPARATUS - The disclosure relates to a method of image frame prediction in a display apparatus. The method may comprises performing inter-frame motion vector calculation on every two adjacent source frames to obtain a plurality of frame motion vectors, wherein the source frames are rendered frames: performing inter-frame motion vector prediction based on at least two adjacent frame motion vectors of the plurality of frame motion vectors to obtain a frame motion vector prediction value; and processing a source frame closest to the frame motion vector prediction value based on the frame motion vector prediction value to obtain a predicted frame. The source frame closest to the frame motion vector prediction value may be the last source frame used in obtaining the frame motion vector prediction value. | 2021-11-25 |
20210366134 | METHOD FOR STANDARDIZED OPHTHALMIC FUNDUS IMAGING FOR THE LONGITUDINAL MONITORING OF PATIENTS WITH EYE DISEASES - The present invention provides a method to consistently and continuously monitor an individual's ocular fundus via the acquisition of standardized fundus images longitudinally, especially for (but not limited to) individuals with diabetic retinopathy. Briefly, the key points of the present invention include: (a) using an aiming beam to target anatomic landmarks of the ocular fundus; (b) using normal anatomic landmarks as registration points; (c) providing a method of image acquisition to create standardized images. | 2021-11-25 |
20210366135 | METHOD AND SYSTEM FOR REGISTERING IMAGES CONTAINING ANATOMICAL STRUCTURES - A method for registration between a first three-dimensional image acquired according to a first acquisition mode, and including anatomical structures of a patient, and a second two-dimensional image, acquired according to a second acquisition mode by a rotatable and translatable device, the second image including a portion of the anatomical structures of the patient. The registration implements a rigid spatial transformation defined by rotation and translation parameters. The method includes automatically detecting the anatomical structures in the two-dimensional image by applying a first detection neural network trained on a generic database; estimating, from the anatomical structures automatically detected in the second two-dimensional image, by applying at least one classification neural network trained beforehand on a generic database, the rotation and translation parameters of the rigid spatial transformation; and 3D/2D iconic registration between the first three-dimensional image and the second two-dimensional image starting from an initialization with the rigid spatial transformation. | 2021-11-25 |
20210366136 | METHOD FOR ALIGNING A THREE-DIMENSIONAL MODEL OF A DENTITION OF A PATIENT TO AN IMAGE OF THE FACE OF THE PATIENT RECORDED BY CAMERA - The present invention relates to a computer implemented method for aligning a three-dimensional model ( | 2021-11-25 |
20210366137 | DEVICE AND METHOD FOR ALIGNMENT OF MULTI-MODAL CLINICAL IMAGES USING JOINT SYNTHESIS, SEGMENTATION, AND REGISTRATION - An image processing method for performing image alignment includes: acquiring a moving image generated by a first imaging modality; acquiring a fixed image generated by a second imaging modality; jointly optimizing a generator model, a register model, and a segmentor model applied to the moving image and the fixed image according to a plurality of cost functions; and applying a spatial transformation corresponding to the optimized register model to the moving image to align the moving image to the fixed image; wherein: the generator model generates a synthesized image from the moving image conditioned on the fixed image; the register model estimates the spatial transformation to align the synthesized image to the fixed image; and the segmentor model estimates segmentation maps of the moving image, the fixed image, and the synthesized image. | 2021-11-25 |
20210366138 | USING CAMERA EFFECT IN THE GENERATION OF CUSTOM SYNTHETIC DATA FOR USE IN TRAINING AN ARTIFICIAL INTELLIGENCE MODEL TO PRODUCE AN IMAGE DEPTH MAP - Embodiments allow camera effects, such as imaging noise, to be included in a generation of a synthetic data set for use in training an artificial intelligence model to produce an image depth map. The image depth map can then be employed to assist in compositing live action images from an image capture device with computer generated images in real-time or near real-time. The two types of images (live action and computer generated) are composited accurately by using a depth map. In an embodiment, the depth map includes a “depth value” for each pixel in the live action image. In an embodiment, steps of one or more of feature extraction, matching, filtering or refinement can be implemented, at least in part, with an artificial intelligence (AI) computing approach using a deep neural network with training. | 2021-11-25 |
20210366139 | METHOD AND APPARATUS FOR GENERATING DEPTH IMAGE - A method and apparatus for generating a depth image are provided. The apparatus receives an input image, extracts a feature corresponding to the input image, generates features for each depth resolution by decoding the feature using decoders corresponding to different depth resolutions, estimates probability distributions for each depth resolution by progressively refining the features for each depth resolution, and generates a target depth image corresponding to the input image based on a final estimated probability distribution from among the probability distributions for each depth resolution. | 2021-11-25 |
20210366140 | SYNTHETIC APERTURE RADAR DATA REDUCTION FOR SATELLITES - A preprocessing technique for synthetic radar images. An embodiment of a method for preprocessing synthetic aperture radar images includes: receiving range-compressed radar data generated from raw radar image data on-board a satellite or an airborne vehicle; generating a preliminary SAR image by performing a pre-focusing on the range-compressed radar data; extracting image subsectors from the preliminary SAR image; transmitting the extracted image subsectors to an on-ground portion; reconstructing the range-compressed radar data pertaining to the extracted image subsectors; and making the range-compressed radar data pertaining to the extracted image subsectors available for a Nominal synthetic aperture radar processor, wherein the Nominal synthetic aperture radar processor is configured to generate a focused SAR image having a nominal value of image resolution that is higher than the resolution of the preliminary SAR image. | 2021-11-25 |
20210366141 | VEHICLE EXTERIOR ENVIRONMENT RECOGNITION APPARATUS - A vehicle exterior environment recognition apparatus includes a monocular distance calculator, a relaxation distance calculator, and an updated distance calculator. The monocular distance calculator calculates a monocular distance of a three-dimensional object from a luminance image generated by an imaging unit. The relaxation distance calculator calculates a relaxation distance of the three-dimensional object from two luminance images generated by two imaging units based on a degree of image matching between the two luminance images determined using a threshold more lenient than another threshold used to determine the degree of image matching to generate a stereo distance of the three-dimensional object. The updated distance calculator calculates an updated distance of the three-dimensional object by mixing the monocular distance and the relaxation distance at a predetermined ratio. | 2021-11-25 |
20210366142 | DYNAMIC DEPTH DETERMINATION - A depth camera assembly (DCA) determines depth information for a local area. The DCA includes a plurality of cameras and at least one illuminator. The DCA dynamically determines depth sensing modes (e.g., passive stereo, active stereo, structured stereo) based in part on the surrounding environment and/or user activity. The DCA uses the depth information to update a depth model describing the local area. The DCA may determine that a portion of the depth information associated with some of portion of the local area is not accurate. The DCA may then select a different depth sensing mode for the portion of the local area and update the depth model with the additional depth information. In some embodiments, the DCA may update the depth model by utilizing a machine learning model to generate a refined depth model. | 2021-11-25 |
20210366143 | IMAGE BASED METROLOGY OF SURFACE DEFORMATIONS - Methods for detecting areas of localized tilt on a sample using imaging reflectometry measurements include obtaining a first image without blocking any light reflected from the sample and obtaining a second image while blocking some light reflected from the sample at the aperture plane. The areas of localized tilt are detected by comparing first reflectance intensity values of pixels in the first image with second reflectance intensity values of corresponding pixels in the second image. | 2021-11-25 |
20210366144 | SYSTEMS AND METHODS FOR UTILIZING A DEEP LEARNING MODEL TO DETERMINE VEHICLE VIEWPOINT ESTIMATIONS - A device may receive a first image. The device may process the first image to identify an object in the first image and a location of the object within the first image. The device may extract a second image from the first image based on the location of the object within the first image. The device may process the second image to determine at least one of a coarse-grained viewpoint estimate or a fine-grained viewpoint estimate associated with the object. The device may determine an object viewpoint associated with the second vehicle based on the at least one of the coarse-grained viewpoint estimate or the fine-grained viewpoint estimate. The device may perform one or more actions based on the object viewpoint. | 2021-11-25 |
20210366145 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM - An image processing apparatus includes a memory and a processor coupled to the memory and configured to perform acquiring object area information representing an image area of a target object in an image from an image database, using the object area information to calculate a distance map representing distance values from a contour of the target object inside the image area, and generating, based on the distance map, a line of points representing a curved line reflecting a global shape of the target object. | 2021-11-25 |
20210366146 | HUMAN POSE ESTIMATION USING NEURAL NETWORKS AND KINEMATIC STRUCTURE - According to an aspect, a method for pose estimation using a convolutional neural network includes extracting features from an image, downsampling the features to a lower resolution, arranging the features into sets of features, where each set of features corresponds to a separate keypoint of a pose of a subject, updating, by at least one convolutional block, each set of features based on features of one or more neighboring keypoints using a kinematic structure, and predicting the pose of the subject using the updated sets of features. | 2021-11-25 |
20210366147 | Process for detection of position of body parts based on facial image - The present invention is a system and improved process for detection of position of body parts based on facial image. The present invention has several advantages over the prior arts described, like, the number of ornamental articles which the user can apply using the simulated process in accordance with the present invention is significantly faster, higher since the present invention obviates the need for physical space to maintain inventory and is less time consuming. Moreover, the present invention enables the user to simulate the application of a large inventory of articles, particularly ornamental articles, without visiting a store. The present invention obviates the need for physically applying an ornamental article, headgear, or makeup to a pre-designated part, such as ears, head or neck of a user. The present invention is an augmented reality application that enables people to virtually try-on jewelry, makeup or any article on their faces. | 2021-11-25 |
20210366148 | METHOD AND DEVICE FOR LOCATING A MACHINE - The device includes a database ( | 2021-11-25 |
20210366149 | METHODS AND APPARATUS TO PERFORM IMAGE ANALYSES IN A COMPUTING ENVIRONMENT - An example apparatus includes a feature extractor to generate a first image descriptor based on a first image of a first retail product tag corresponding to a first category, the first image descriptor representative of one or more visual features of the first retail product tag; a feature descriptor generator to generate a feature descriptor corresponding to the first retail product tag by concatenating the first image descriptor and a first category signature corresponding to the first retailer category; and a classifier to generate a first probability value corresponding to a first type of promotional product tag and a second probability value corresponding to a second type of promotional product tag based on the feature descriptor; and determine whether the first retail product tag corresponds to the first type of promotional product tag or the second type of promotional product tag based on the first and second probability values. | 2021-11-25 |
20210366150 | SYSTEMS AND METHODS FOR VALIDATING DRIVE POSE REFINEMENT - Systems and methods for validating drive pose refinement are provided. In some aspects, a method includes receiving image data that depicts an area of interest, and receiving a plurality of virtual points generated using the image data. The method also includes selecting at least one drive in the area of interest that captures the plurality of virtual points, and generating a refined pose track for each of the at least one drive by applying a drive alignment process to drive data from the at least one drive using the plurality virtual points. The method further includes comparing the refined pose track to a control pose track generated using control repoints, and generating, based on the comparison, a report that validates the refined pose track. | 2021-11-25 |
20210366151 | RECOGNITION METHOD, APPARATUS, AND DEVICE, AND STORAGE MEDIUM - An image recognition method includes: obtaining an image; extracting a target image region corresponding to a target part from the image, wherein the target image region includes a target object; determining a location of the target object in the target image region (i) according to pixel values of pixels in the target image region and a location relationship between the pixels, or (ii) inputting the target image region to a trained segmentation model to obtain the location of the target object in the target image region; and displaying a recognition result of the image, wherein the recognition result indicates the location of the target object in the target image region. | 2021-11-25 |
20210366152 | METHOD AND APPARATUS WITH GAZE ESTIMATION - A gaze estimation method and apparatus is disclosed. The gaze estimation method includes obtaining an image including an eye region of a user, extracting, from the obtained image, a first feature of data, obtaining a second feature of data used for calibration of a neural network model, and estimating a gaze of the user using the first feature and the second feature. | 2021-11-25 |