08th week of 2021 patent applcation highlights part 49 |
Patent application number | Title | Published |
20210056646 | WORK INFORMATION MANAGEMENT SYSTEM AND WORK INFORMATION MANAGEMENT METHOD - The present invention comprises: a wearable sensor that is worn by a worker, the wearable sensor having a sensor that receives sensor data from a sensing object, and a transmitter that transmits to a terminal the sensor data received by the sensor; and a computer that determines operation content for the worker on the basis of the sensor data received from the wearable sensor, and outputs the result of the determination to a display unit. | 2021-02-25 |
20210056647 | METHOD FOR MULTI-DIMENSIONAL IDENTIFICATION OF FLEXIBLE LOAD DEMAND RESPONSE EFFECT - A method for multi-dimensional identification of flexible load demand response effects, including: step | 2021-02-25 |
20210056648 | SMART MEAL PREPARATION USING A WEARABLE DEVICE FOR ACCOMMODATING CONSUMER REQUESTS - Smart meal preparation can be performed where a consumer order for a food item and a consumer request related to the food item are received. One or more recipes for the food item are received. The one or more recipes are analyzed to determine a conflict with the consumer request. The consumer request and the determined conflict are transmitted to a wearable device worn by a cook who will prepare the food item. Alerts related to the conflict are provided to the cook via the wearable device during preparation of the food item. Preparation of the food item is monitored for compliance with the consumer request. | 2021-02-25 |
20210056649 | SYSTEMS AND METHODS FOR CONNECTING MARKET PARTICIPANTS - A system for connecting market participants is disclosed. The system may receive a first user data comprising a market participant type. The system may receive a first metadata set associated with the first user data and a second metadata set associated with a second user data, wherein the second metadata set comprises the market participant type. The system may generate a match data based on the first metadata set, the second metadata set, and the market participant type, wherein the match data defines an association between the first user data and the second user data. The system may generate a communication channel between a first user device and a second user device based on the match data. | 2021-02-25 |
20210056650 | EDUCATION MANAGEMENT SYSTEM AND METHOD FOR ENABLING CREDITS TO BE ADMITTED BASED ON TALENTS AND CAREERS AND TALENT DONATION BANK SERVICE PROVISION SYSTEM USING THE SAME - An education management system and an education management method that enable credits to be admitted based on at least one of talents and carriers and a talent donation bank service provision system using the same is disclosed. The education management method comprises acquiring information on talent, career or talent career degree and talent donation-related information for talent, career or talent career degree; monitoring the status of talent or career donation of the talent, career or talent career degree based on the talent donation-related information; checking accumulated talent, career or talent career donation score for a degree student during a set period according to the pre-set donation conditions for the degree or the credits after conferring the degree; and canceling the credit or degree, when the donation score of the degree person is less than the reference score within the donation condition, as a result of the check. | 2021-02-25 |
20210056651 | Artificial Intelligence Driven Worker Training And Skills Management System - The present disclosure relates to a system, computer readable medium, and method for training workers in occupational skills. The disclosure provides highly automated, artificial intelligence driven, ways of improving human capital through the acquisition, development, and verification of multiple career related proficiencies. Generally, the disclosure provides an integrated digital platform that allows workers to (1) receive training on their existing job skills, (2) verify mastery of the existing job skills through various assessments, and (3) receive recommendations regarding which job skills may be useful to acquire. | 2021-02-25 |
20210056652 | Child Services Platform - A child services platform is provided which may be utilized by one or more caregivers in electronic data communication with one or more child welfare entities. The one or more caregivers may determine a set of at least one first parameters associated with one or more minor children and may record the set of at least one first parameters into an electronic database. Responsive to determining the set of at least one first parameters, the one or more child welfare entities may determine a set of at least one second parameters associated with the one or more caregivers and may record the set of at least one second parameters into the electronic database. The set of at least one first parameters and the set of at least one second parameters may characterize a relationship between the one or more minor children and the one or more caregivers. | 2021-02-25 |
20210056653 | COOPERATIVE ENVIRONMENTAL AND LIFE BENEFIT EXCHANGE SYSTEM - A cooperative environmental and life benefit exchange system is presented. The system includes a grid for transmitting available electrical energy, a plurality of rate payers using energy generated from renewable energy sources, a plurality of utility companies providing the grid, a plurality of credits redeemable for acquiring one or more of a plurality of life benefits, and an administrator overseeing a redemption process. In one embodiment, credits are accumulated by the rate payers based on either a predetermined amount of electrical energy purchased from or sold back to the grid. In the redemption process the credits accumulated by the rate payers are redeemed at a redemption rate to provide a redemption value. The redemption value is remitted by the rate payers to satisfy benefit cost for acquiring the life benefits, or portions thereof. | 2021-02-25 |
20210056654 | MAKING A WORK ENVIRONMENT SAFE USING AT LEAST ONE ELECTRONIC BEACON AND AN ELECTRONIC TAG - The present invention relates to a method and apparatus for making a work safe using at least one electronic beacon and an electronic tag carried by an operator. The beacon and the tag are capable of communicating with one another using a communication scheduler implementing a communication management algorithm. The work environment includes at least one exclusion zone for the operator. | 2021-02-25 |
20210056655 | INFORMATION ACQUISITION SYSTEM, INFORMATION ACQUISITION APPARATUS, SERVER, INFORMATION TERMINAL, AND INFORMATION ACQUISITION METHOD - Provided is an information acquisition system, an information acquisition method, or the like that can realize smoother acquisition of biometric information. The information acquisition apparatus is arranged in a first section where a first subject stands by and has a first reading unit that reads and acquires identification information from a medium carried by the first subject in the first section, a biometric information acquisition unit that acquires biometric information on the first subject from the first subject, and a first information management unit that transmits, to the server, person information including the identification information and the biometric information associated with each other. The server has a second information management unit that registers, to a database, the person information transmitted from the information acquisition apparatus. The information terminal is arranged in a second section different from the first section and has a second reading unit that reads and acquires identification information from a medium carried by a second subject that has passed through the first section, and an information acquisition unit that acquires, from the server, the biometric information associated with the identification information acquired by the second reading unit. | 2021-02-25 |
20210056656 | ROUTING FRAMEWORK WITH LOCATION-WISE RIDER FLEXIBILITY IN SHARED MOBILITY SERVICE SYSTEM - A ride-sharing system may include a database configured to maintain a plurality of shuttle routes for ride-sharing and a server configured to receive a ride-sharing request indicating desire to join a ride-share and including a maximum walk distance to a pick-up or drop-off location of the desired route, and transmit, in response to the ride-sharing request, at least one selected route having a route walk distance to the pick-up or drop-off location not exceeding the maximum walk distance. | 2021-02-25 |
20210056657 | DYNAMIC PLATFORM FOR MOBILITY ON DEMAND SERVICES - A computer-implemented method includes receiving, from a passenger mobile device, a request message indicative of a passenger request for transportation services, determining, based on the request message, an updated estimated wait time (EWT) to accommodate the passenger, determining, based on the first EWT, a probability value indicative of whether the passenger mobile device will send an acceptance of a ride offer for passenger transport, generating, based on the probability value and a reference transportation mode, a price for the ride offer, and sending a proposal message to the passenger mobile device, the proposal message comprising the ride offer, the price for the ride offer, and an itinerary comprising pickup information, and distance information. | 2021-02-25 |
20210056658 | NONCONFORMANCE DETECTION SYSTEM - A method, apparatus, and system for generating images. An imaging system comprises a computer system with a controller. The controller is configured to receive from a shearography camera system an unloaded visible light image generated of a coating in an area of a structure while the area is in an unloaded state and a loaded visible light image generated while the area is in a loaded state and receive from an infrared camera system an unloaded thermal image generated while the area is in the unloaded state and a loaded thermal image generated while the area is in the loaded state. The controller is configured to subtract the loaded visible light image from the unloaded visible light image to form a subtracted visible light image. The controller is configured to subtract the loaded thermal image from the unloaded thermal image to form a subtracted thermal image. | 2021-02-25 |
20210056659 | OBJECT DETECTION DEVICE AND OBJECT DETECTION COMPUTER PROGRAM - The object detection device extracts a plurality of predetermined features from an image in which a target object is represented, calculates an entire coincidence degree between the plurality of predetermined features set for an entire model pattern of the target object and the plurality of predetermined features extracted from a corresponding region on the image while changing a relative positional relationship between the image and the model pattern, and calculates, for each partial region including a part of the model pattern, a partial coincidence degree between the predetermined features included in the partial region and the predetermined features extracted from a region corresponding to the partial region on the image. Then, the object detection device determines whether or not the target object is represented in the region on the image corresponding to the model pattern based on the entire coincidence degree and the partial coincidence degree. | 2021-02-25 |
20210056660 | VIAL CONTENT DETECTION USING ILLUMINATED BACKGROUND PATTERN - A machine vision system that uses an imager to capture an optical image of a target object that may contain a liquid. The target object is illuminated by an illumination source positioned oppositely from the imager and a predetermined pattern is positioned between the illumination source and the target object so that the imager will capture optical images of the background pattern through any liquid positioned in the target object. A processor is programmed to analyze captured images to detect any distortions of the pattern that are attributable to the presence of a liquid in the target object. | 2021-02-25 |
20210056661 | METHODS AND APPARATUS FOR EFFICIENT MOTION ESTIMATION - The present disclosure relates to methods and apparatus for graphics processing. The apparatus can determine a motion estimation priority for one or more regions in a frame. In some aspects, each of the one or more regions can include a group of pixels. Additionally, the apparatus can adjust a quality of a motion estimation procedure for each group of pixels based on the motion estimation priority of the region including the group of pixels. The apparatus can also perform the motion estimation procedure for each of the at least one group of pixels to generate a motion vector for the at least one group of pixels based on the adjusted quality of the motion estimation procedure. | 2021-02-25 |
20210056662 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - An image processing apparatus comprises an image obtaining unit that obtains image data based on image capturing by a plurality of image capture apparatuses configured to capture images in an imaging area from different positions, and a panoramic image generation unit that generates, based on the image data obtained by the image obtaining unit, a panoramic image including images in directions within a predetermined range based on a specific position in the imaging area, the panoramic image having an enlargement rate of an image in a specific direction included in the predetermined range which is larger than the enlargement rates of images in other directions. | 2021-02-25 |
20210056663 | Automatic Image Cropping Based on Ensembles of Regions of Interest - A crop generation system determines multiple types of saliency data and multiple crop candidates for an image. Multiple region of interest (“ROI”) ensembles are generated, indicating locations of the salient content of the image. For each crop candidate, the crop generation system calculates an evaluation score. A set of crop candidates is selected based on the evaluation scores. | 2021-02-25 |
20210056664 | INFORMATION PROCESSING APPARATUS AND METHOD, ELECTRONIC DEVICE AND COMPUTER READABLE MEDIUM - The present disclosure relates to an information processing apparatus and method, an electronic device and computer readable medium. According to an embodiment, an information processing apparatus includes processing circuitry configured to compare environment data acquired by a user equipment with reference data; determine, based on the comparison, an adjustment for an acquisition manner of the environment data; and perform a control to notify the user equipment of indication information related to the adjustment. | 2021-02-25 |
20210056665 | METHOD AND APPARATUS FOR STREAMING DATA - A terminal for receiving streaming data may receive information of a plurality of different quality versions of an image content; request, based on the information, a server for a version of the image content from among the plurality of different quality versions of the image content; when the requested version of the image content and artificial intelligence (AI) data corresponding to the requested version of the image content are received, determines whether to perform AI upscaling on the received version of the image content, based on the AI data; and based on a result of the determining whether to perform AI upscaling, performs AI upscaling on the received version of the image content through a upscaling deep neural network (DNN) that is trained jointly with a downscaling DNN of the server. | 2021-02-25 |
20210056666 | METHOD AND APPARATUS FOR STREAMING DATA - A terminal for receiving streaming data may receive information of a plurality of different quality versions of an image content; request, based on the information, a server for a version of the image content from among the plurality of different quality versions of the image content; when the requested version of the image content and artificial intelligence (AI) data corresponding to the requested version of the image content are received, determines whether to perform AI upscaling on the received version of the image content, based on the AI data; and based on a result of the determining whether to perform AI upscaling, performs AI upscaling on the received version of the image content through a upscaling deep neural network (DNN) that is trained jointly with a downscaling DNN of the server. | 2021-02-25 |
20210056667 | CORRECTION OF MISALIGNED EYES IN IMAGES - An eye correction system and related techniques are described herein. The eye correction system can automatically detect and correct one or more misaligned eyes in an image. For example, an image of a person can be analyzed to determine whether one or both eyes of the person are misaligned with respect to each other and/or with respect to the entire face of the person. If an eye is determined to be misaligned, the image can be modified so that the eye is adjusted accordingly. For example, an iris of a misaligned eye can be adjusted to align with the face and/or the other eye. | 2021-02-25 |
20210056668 | IMAGE INPAINTING WITH GEOMETRIC AND PHOTOMETRIC TRANSFORMATIONS - Techniques are disclosed for filling or otherwise replacing a target region of a primary image with a corresponding region of an auxiliary image. The filling or replacing can be done with an overlay (no subtractive process need be run on the primary image). Because the primary and auxiliary images may not be aligned, both geometric and photometric transformations are applied to the primary and/or auxiliary images. For instance, a geometric transformation of the auxiliary image is performed, to better align features of the auxiliary image with corresponding features of the primary image. Also, a photometric transformation of the auxiliary image is performed, to better match color of one or more pixels of the auxiliary image with color of corresponding one or more pixels of the primary image. The corresponding region of the transformed auxiliary image is then copied and overlaid on the target region of the primary image. | 2021-02-25 |
20210056669 | DETERMINING AN OPTIMALITY COEFFICIENT OF AN IMAGE - A method for determining an optimality coefficient includes receiving an image including a plurality of pixels. A characteristic function is selected for analyzing the received image. Distribution of the plurality of pixels of the received image is analyzed using the selected characteristic function. The analyzed distribution of the plurality of pixels is compared with a normal probability distribution function. An optimality coefficient value for the received image is generated based on the results of the comparison. | 2021-02-25 |
20210056670 | SYSTEM AND METHOD FOR AUTOMATICALLY CREATING COMBINED IMAGES OF A VEHICLE AND A LOCATION - Systems and methods are provided for automatically creating combined images of a vehicle and a location. An example method may include determining a location; obtaining a stock image of an environment related to the location; obtaining an image of the vehicle; generating a combined image, comprising combining the stock image of the environment with the image of the vehicle; and displaying the combined image. | 2021-02-25 |
20210056671 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus includes one or more processors including hardware. The one or more processors are configured to: divide, regarding a plurality of images acquired by capturing images of an imaging subject over time, the respective images into a plurality of regions; calculate, for the respective divided regions, motion vectors by detecting movements of the imaging subject; detect luminances and contrasts of the respective regions and detect specific regions where the detected luminances and contrasts satisfy determination conditions, the determination conditions being that the luminances are equal to or greater than a first threshold and that the contrasts are equal to or less than a second threshold; select the motion vectors to be used by excluding the motion vectors of the detected specific regions from the calculated motion vectors; and generate a combined image by performing position alignment of the plurality of images by using the selected motion vectors. | 2021-02-25 |
20210056672 | FRACTURE DETECTION METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM - A fracture detection method executed by an electronic device is provided. The fracture detection method includes obtaining a to-be-detected image; using a Fully Convolutional Networks (FCN) model to process the to-be-detected image to obtain a fracture probability map of the to-be-detected image; performing a maximum pooling process on the fracture probability map to obtain a first fracture probability; extracting Regions of Interests (ROIs) of the to-be-detected image based on the FCN model; inputting the ROIs into a classification model to obtain a second fracture probability; calculating a product of the first fracture probability and the second fracture probability as a probability of a fracture phenomenon in the to-be-detected image. The present disclosure combines the FCN model and the ROIs to realize an automatic fracture detection, and the accuracy is higher. A device employing the method is also disclosed. | 2021-02-25 |
20210056673 | ADAPTING A QUALITY THRESHOLD FOR A FINGERPRINT IMAGE - In a method for adapting a quality threshold for a fingerprint image, a fingerprint image is received. An image quality of the fingerprint image is determined. Provided the image quality of the fingerprint image does not satisfy a quality threshold, the quality threshold is decreased. Provided the image quality of the fingerprint image does satisfy a decreased quality threshold, the fingerprint image is forwarded to a matcher for fingerprint authentication. | 2021-02-25 |
20210056674 | METHOD AND GRAPHIC USER INTERFACE FOR INTERACTIVELY DISPLAYING DIGITAL MEDIA OBJECTS ACROSS MULTIPLE COMPUTING DEVICES - A method and a graphic user interface for displaying digital media objects and dynamically calculating their quality indicators. A first digital media object is displayed on a first computing device. A first user provides one of predefined inputs corresponding either to a positive or a negative response to the first digital media object. The quality indicator of the first digital media object is increased if the response is positive and decreased if the response is negative. The amount of increase or decrease is calculated based on a coefficient value associated with the first user. Subsequent responses to the first digital media object from other users impact the quality indicator of the first digital media object and, also, impact the coefficient value of the first user. Updated coefficient value of the first user is used to calculate impact of subsequent responses of the first user to other digital media objects. | 2021-02-25 |
20210056675 | IMAGE GENERATION DEVICE, IMAGE GENERATION METHOD, AND IMAGE GENERATION PROGRAM - An image generation means | 2021-02-25 |
20210056676 | METHOD AND APPARATUS FOR ESTIMATING EMOTIONAL QUALITY USING MACHINE LEARNING - Embodiments of the innovation relate to an emotional quality estimation device comprising a controller having a memory and a processor, the controller configured to execute a training engine with labelled training data to train a neural network and generate a classroom analysis machine, the labelled training data including historical video data and an associated classroom quality score table; receive a classroom observation video from a classroom environment; execute the classroom analysis machine relative to the classroom observation video from the classroom environment to generate an emotional quality score relating to the emotional quality of the classroom environment; and output the emotional quality score for the classroom environment. | 2021-02-25 |
20210056677 | SYSTEMS AND METHODS FOR IMAGE PROCESSING - A computing-device implemented system and method for identifying an item in an x-ray image is described. The method includes training a machine learning algorithm with at least one training data set of x-ray images to generate at least one machine-learned model. The method further includes receiving at least one rendered x-ray image that includes an item, identifying the item using the at least one model, and generating an automated detection indication associated with the item. | 2021-02-25 |
20210056678 | SYSTEM AND METHOD FOR CYBER-PHYSICAL INSPECTION AND MONITORING OF NONMETALIC STRUCTURES - A technological solution for analyzing a sequence of electromagnetic spectrum image frames of a nonmetallic asset and detecting or predicting an aberration in the asset, including a detected or predicted location of the aberration. The technological solution includes receiving the electromagnetic spectrum image frames by a pair of machine learning systems of different types, applying a machine learning algorithm to the electromagnetic spectrum image frames to stratify the electromagnetic spectrum images into abstraction levels according to an image topology and output first aberration determination information, applying a second machine learning algorithm to the electromagnetic spectrum image frames to detect patterns in electromagnetic spectrum images over time and output second aberration determination information, generating an aberration assessment based on the first and second aberration determination information, and transmitting the aberration assessment to a communicating device, including prediction of an aberration and a location of the aberration in or on the nonmetallic asset. | 2021-02-25 |
20210056679 | INSPECTION SYSTEM, INSPECTION APPARATUS, AND INSPECTION METHOD - An inspection system for inspecting a target includes a first lighting device configured to irradiate light onto the target from a given direction; a second lighting device, provided between the target and the first lighting device, configured to irradiate light onto the target from an oblique direction with respect to the given direction; an image capture device, provided at a position opposite to a position of the target with respect to the first lighting device and the second lighting device in the given direction; and circuitry configured to acquire a first inspection target image of the target, captured by the image capture device by irradiating the light from the first lighting device, and a second inspection target image of the target, captured by the image capture device by irradiating the light from the second lighting device, to be used for inspecting the target. | 2021-02-25 |
20210056680 | COMMISSIONING OF LIGHTING SYSTEM AIDED BY AUGMENTED REALITY - System and methods and computer program code are provided to perform a commissioning process comprising capturing, using an image capture device, an image of an area containing at least a first fixture, identifying location and positioning information associated with the image, performing image processing of the image to identify a location of the at least first fixture in the image, and converting the location of the at least first fixture in the image into physical coordinate information associated with the at least first fixture. | 2021-02-25 |
20210056681 | SYSTEM AND METHOD FOR VISUAL PRODUCTION LINE INSPECTION OF DIFFERENT PRODUCTION ITEMS - An appliance and method for automated visual inspection of at least two items from different categories, on a production line, include automatically switching between an item profile of a first of the at least two items for inspection; and an item profile of a second of the at least two items for inspection, based on detection of the first item in an image of the production line. | 2021-02-25 |
20210056682 | TOOL TRACKING - A system for determining the location of a toolpiece, the system comprising: a tool carrying a toolpiece and comprising an imaging device for capturing images of the environment around the tool, the tool being actuable to manipulate the toolpiece to work on a workpiece; and an image processor remote from the tool and communicatively coupled to the imaging device for receiving images therefrom and having access to reference data representing an expected environment, the image processor being configured to compare an image captured by the imaging device with the reference data to identify a match therebetween and to determine in dependence on characteristics of that match the location of the toolpiece; wherein the system is configured to cause the tool to transmit images captured by the imaging device to the image processor in response to actuation of the tool. | 2021-02-25 |
20210056683 | TOMOGRAPHIC IMAGE PROCESSING DEVICE AND METHOD, AND RECORDING MEDIUM RELATING TO METHOD - A computed tomography (CT) image processing apparatus includes an image processor which sets two or more CT number ranges of interest defined by a window level and a window width for CT numbers of CT image data, and maps the CT numbers to display grayscale values of a display. The display displays the CT image data according to a mapping result. A gradient of a graph showing a relationship between the CT numbers and the display grayscale values in a CT number range included in the two or more CT number ranges of interest, is greater than a gradient in a CT number range not included in the two or more CT number ranges of interest. The graph has a zero or positive gradient over an entire section, or has a zero or negative gradient over the entire section. | 2021-02-25 |
20210056684 | MEDICAL IMAGE CLASSIFICATION METHOD AND RELATED DEVICE - A medical image classification method such as CT (or CAT) scans includes receiving the CT scan or medical image, inputting the medical image into an image classification model, which provides a cross entropy (CE) loss function and an aggregated cross entropy (ACE) loss function. According to the ACE loss function, image samples with generic label are used as input data during model training. The medical image can be classified by using the image classification model, and a classification of the medical image is thereby obtained. The present disclosure can classify indeterminate or general medical images and even unlabeled images and thus realize supervision of medical data. A device for applying the method is also provided. | 2021-02-25 |
20210056685 | METHOD AND DEVICE FOR MONITORING COMPREHENSIVE GROWTH OF POTTED LETTUCE - An apparatus for monitoring comprehensive growth condition of potted lettuce consists of a polarized hyperspectral imaging system and a 3D laser scanning system. The polarized hyperspectral imaging system includes a control system, a dual-coordinate sample holder, an image acquisition system, and a light source system, and the polarized hyperspectral imaging system detects water and fertilizer stress in lettuce by polarized hyperspectral multi-dimensional reflection imaging of characteristics on a canopy/leaf scale. The 3D laser scanning system detects morphological characteristics such as the biomass, stem diameter, plant height, and leaf area of lettuce. The method includes: step 1: culturing samples: cultivating the potted lettuce under a water stress, and under a nitrogen stress and water stress; step 2: acquiring morphological data of an entire lettuce plant; step 3: processing and analyzing data; step 4: correcting a model by using a water compensation factor; step 5: establishing a multi-characteristic integration model. | 2021-02-25 |
20210056686 | MEDICAL IMAGE PROCESSING APPARATUS AND MEDICAL IMAGE PROCESSING METHOD - A medical image processing apparatus reducing noise of a medical image acquired includes a smoothing unit forming a smoothed image of the medical image, a route forming unit forming a route that is a pixel group positioned continuously in the smoothed image and fulfills a route condition, and a noise reducing unit extracting a pixel group corresponding to the route in the medical image and reducing noise of the medical image based on the extracted pixel group. | 2021-02-25 |
20210056687 | SYSTEMS AND METHODS FOR SEGMENTATION OF INTRA-PATIENT MEDICAL IMAGES - Embodiments disclose a method and system for segmenting medical images. In certain embodiments, the system comprises a database configured to store a plurality of medical images acquired by an image acquisition device. The plurality of images include at least one first medical image of an object, and a second medical image of the object, each first medical image associated with a first structure label map. The system further comprises a processor that is configured to register the at least one first medical image to the second medical image, determine a classifier model using the registered first medical image and the corresponding first structure label map, and determine a second structure label map associated with the second medical image using the classifier model. | 2021-02-25 |
20210056688 | USING DEEP LEARNING TO REDUCE METAL ARTIFACTS - An X-ray imaging device ( | 2021-02-25 |
20210056689 | METHODS AND SYSTEMS FOR IDENTIFYING INTERNAL CONDITIONS IN JUVENILE FISH THROUGH NON-INVASIVE MEANS - Methods and systems are disclosed for improvements in aquaculture that allow for increasing the number and harvesting efficiency of fish in an aquaculture setting by identifying and predicting internal conditions of the juvenile fish based on external characteristics that are imaged through non-invasive means. | 2021-02-25 |
20210056690 | MEDICAL INFORMATION PROCESSING APPARATUS AND COMPUTER READABLE STORAGE MEDIUM - A medical information processing apparatus includes a hardware processor. The hardware processor determines, based on a predetermined condition, priority degrees of lesion-detected regions of multiple types of lesions detected in a medical image. Further, the hardware processor makes display forms of the lesion-detected regions detected in the medical image differ according to the determined priority degrees. | 2021-02-25 |
20210056691 | SYSTEMS AND METHODS UTILIZING ARTIFICIAL INTELLIGENCE FOR PLACENTAL ASSESSMENT AND EXAMINATION - Systems and methods for completing a morphological characterization of an image of a placenta and providing suggested pathological diagnoses are disclosed. A system includes programming instructions that, when executed, cause processing devices to execute commands according to the following logic modules: an Encoder module that receives the digital image of the placenta and outputs a pyramid of feature maps, a SegDecoder module that segments the pyramid of feature maps on a fetal side image and on a maternal side image, a Classification Subnet module that classifies the fetal side image and the maternal side image, and a convolutional IPDecoder module that localizes an umbilical cord insertion point of the placenta from the classified fetal side image and the classified maternal side image. The localized umbilical cord insertion point, segmentation maps for the classified fetal side and maternal side images are provided to an external device for determining the morphological characterization. | 2021-02-25 |
20210056692 | SYSTEM AND METHOD FOR IMAGE RECONSTRUCTION - A method and a system for image reconstruction are provided. The method may include acquiring raw image data, wherein the raw image data may include a plurality of frequency domain undersampled image data samples. The method may include generating a first reconstruction result based on the raw image data using a first reconstruction method, and generating a second reconstruction result based on the raw image data using a second reconstruction method. The method may further include fusing the first reconstruction result and the second reconstruction result, and generating a reconstructed image based on a result of the fusion. | 2021-02-25 |
20210056693 | TISSUE NODULE DETECTION AND TISSUE NODULE DETECTION MODEL TRAINING METHOD, APPARATUS, DEVICE, AND SYSTEM - This application relates to a tissue nodule detection and tissue nodule detection model training method, apparatus, device, storage medium and system. The method for training a tissue nodule detection model includes: obtaining source domain data and target domain data, the source domain data comprising a source domain image and an image annotation, the target domain data comprising a target image, and the image annotation being used for indicating location information of a tissue nodule in the source domain image; performing feature extraction on the source domain image using a neural network model to obtain a source domain sampling feature, performing feature extraction on the target image using the neural network model to obtain a target sampling feature, and determining a model result according to the source domain sampling feature using the neural network model; determining a distance parameter between the source domain data and the target domain data according to the source domain sampling feature and the target sampling feature, the distance parameter being a parameter describing a magnitude of a data difference between the source domain data and the target domain data; determining, according to the model result and the image annotation, a loss function value corresponding to the source domain image; and training the neural network model to obtain a tissue nodule detection model by iteratively reducing a combination of the loss function value and the distance parameter. In this way, the detection accuracy can be improved. | 2021-02-25 |
20210056694 | VISUAL AUGMENTATION OF REGIONS WITHIN IMAGES - Among other things, one or more systems and/or techniques for visually augmenting regions within images are provided herein. An image of an object, such as a bag, is segmented to identify an item (e.g., a metal gun barrel). Features of the item are extracted from voxels representing the item within the image (e.g., voxels within a first region), such as a size, shape, density, and orientation of the item. Response to the features of the item matching predefined features of a target item to detect, one or more additional regions are identified, such as a second region proximate to the first region based upon a location of the second region corresponding to where a connected part of the item (e.g., a plastic handle of the gun) is predicted to be located. The one or more regions are visually distinguished within the image from other regions (e.g., colored, highlighted, etc.). | 2021-02-25 |
20210056695 | LANDMARK ESTIMATING METHOD, PROCESSOR, AND STORAGE MEDIUM - A landmark estimating method estimates a position of a landmark that is a hole existing in an object and is a site through which an insertion portion penetrates, in an endoscope image obtained by picking up an image of the object by an endoscope with the insertion portion bent. The landmark estimating method includes estimating an axis of the insertion portion, estimating a boundary of the insertion portion and the object, and estimating the position of the landmark based on the axis and the boundary that are estimated. | 2021-02-25 |
20210056696 | INTELLIGENT AUTOMATIC SELECTION OF A PRIOR COMPARISON STUDY - Systems and methods for selecting a prior comparison study. One system includes an electronic processor configured to, for a medical image study associated with a patient, select a prior comparison image study. The electronic processor is also configured to automatically determine, based on monitored user interaction with the selected prior comparison image study, a usefulness of the selected prior comparison image study. The electronic processor is also configured to automatically update a selection model based on the usefulness of the prior comparison image study to a user. | 2021-02-25 |
20210056697 | Methods and Systems for Determining Coronary Hemodynamic Characteristic(s) That is Predictive of Myocardial Infarction - The systems and methods can accurately and efficiently determine a myocardial risk from a lesion disposed along a coronary segment using hemodynamic characteristic(s) associated with one or more sections of the corresponding lesion site. The method may include segmenting one or more lesion sites disposed along at least one arterial segment of the one or more arterial segments of the coronary model into one or more sections. Each lesion site includes a lesion. The method may include determining one or more characteristics for at least one section using at least the one or more characteristics associated with the at least one arterial segment. The one or more characteristics for the at least one section including hemodynamic force characteristic(s) (e.g., wall shear stress (WSS)). The method may include determining one or more risk indices for each lesion site using at least the hemodynamic force characteristic(s) for the at least one section. | 2021-02-25 |
20210056698 | TRANSMISSIVE LIGHT BASED TREMOR IDENTIFICATION METHOD AND SYSTEM THEREOF - The disclosure provides a transmissive light based tremor identification method and a system thereof. The method includes: projecting, with a transmissive light, a first optical pattern to a part to be measured, wherein the transmissive light penetrates a surface of the part to be measured and correspondingly forms a second optical pattern on an internal structure of the part to be measured, and the second optical pattern is synthesized to include at least one intersection; capturing a plurality of images of the second optical pattern on the internal structure of the part to be measured and acquiring a motion feature of each intersection based on the images; and identifying a tremor pattern of the internal structure of the part to be measured based on the motion feature of each intersection. | 2021-02-25 |
20210056699 | PATIENT REGISTRATION SYSTEMS, DEVICES, AND METHODS FOR A MEDICAL PROCEDURE - Methods and apparatuses for performing patient registration. 3D scan data from a 3D scanner, preoperative image data, first tracking data from a first tracking system, and second tracking data from a second tracking system are mapped to a common coordinate space. The 3D scan data and the first tracking data are mapped to each other using a transformation that is determined based on a calibration relating the 3D scan coordinate space and the tracking coordinate space. The 3D scan data and the preoperative image data are mapped to each other using a surface matching algorithm. The first tracking data and the second tracking data are mapped to each other based on tracking of the patient reference device. | 2021-02-25 |
20210056700 | SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC MEDICAL IMAGES TO DETERMINE ENHANCED ELECTRONIC MEDICAL IMAGES - Systems and methods for processing electronic images from a medical device comprise receiving a first image frame and a second image frame from a medical device, and determining a region of interest by subtracting the first image frame from the second image frame, the region of interest corresponding to a visual obstruction in the first image frame and/or second image frame. Image processing may be applied to the first image frame and/or second image frame based on a comparison between a first area of the first image frame corresponding to the region of interest and a second area of the second image frame corresponding to the region of interest, and the first image frame and/or second image frame may be provided for display to a user. | 2021-02-25 |
20210056701 | METHOD OF IMAGE PROCESSING USING A NEURAL NETWORK - A method of generating landmark locations for an image crop comprises: processing the crop through an encoder-decoder to provide a plurality of N output maps of comparable spatial resolution to the crop, each output map corresponding to a respective landmark of an object appearing in the image crop; processing an output map from the encoder through a plurality of feed forward layers to provide a feature vector comprising N elements, each element including an (x,y) location for a respective landmark. Any landmarks locations from the feature vector having an x or a y location outside a range for a respective row or column of the crop are selected for a final set of landmark locations; with remaining landmark locations tending to be selected from the N (x,y) landmark locations from the plurality of N output maps. | 2021-02-25 |
20210056702 | DYNAMICALLY CHANGE TRACKER SPEED, SWITCH CROP RECTANGLES, AND DISPLAY INVISIBLE CORNERS VIA ZOOM-LOUPES - Techniques described herein address the issue of inadequate view of areas of a crop rectangle for a user while cropping an image. The inadequate view may be due to the user zooming, panning, or rotating the image such that some or all of the crop rectangle may no longer be within view in the graphical user interface. The solution of zoom-loupes provide a view of the corners and user selected points on the edge of the crop rectangle that may be magnified to assist the user to set the crop rectangle area precisely. Additionally, a second crop rectangle can be generated when the entire first/original crop rectangle is unavailable because it is outside the view in the graphical user interface. Using the second crop rectangle, the user may use the second crop rectangle to complete pixel perfect cropping. | 2021-02-25 |
20210056703 | PROGRESSIVELY-TRAINED SCALE-INVARIANT AND BOUNDARY-AWARE DEEP NEURAL NETWORK FOR THE AUTOMATIC 3D SEGMENTATION OF LUNG LESIONS - A system and method are disclosed for segmenting a set of two-dimensional CT slices corresponding to a lesion. In an embodiment, for each of at least a subset of the set of CT slices, the system inputs the CT slice into a plurality of branches of a trained segmentation block. Each branch of the segmentation block includes a convolutional neural network (CNN) with filters at a different scale, and produces one or more levels of output. The system generates, for each CT slice in the subset, feature maps for each level of output. The system generates a segmentation of each CT slice in the subset based on the feature maps of each level of output. The system aggregates the segmentations of each slice in the subset to generate a three-dimensional segmentation of the lesion. The system transmits data representing the three-dimensional segmentation to a user interface for display. | 2021-02-25 |
20210056704 | IIMAGE PROCESSING METHOD AND RECORDING MEDIUM - A data processing method that is suitable for obtaining quantitative information from data obtained by OCT imaging. The image processing method includes acquiring original image data corresponding to a three-dimensional image of a cultured embryo obtained by optical coherence tomography imaging of the embryo and executing a region segmentation the three-dimensional image into a plurality of regions on the basis of the original image data. In the region segmentation, a local thickness calculation is performed on the three-dimensional image to determine an index value indicating a size of an object included in the three-dimensional image, the three-dimensional image is segmented into a region indicated by the index value greater than a predetermined first threshold and a region indicated by the index value less than the first threshold, and each of the regions resulting from the segmentation is further segmented by the watershed algorithm. | 2021-02-25 |
20210056705 | SENSOR DATA SEGMENTATION - A system may include one or more processors configured to receive a plurality of images representing an environment. The images may include image data generated by an image capture device. The processors may also be configured to transmit the image data to an image segmentation network configured to segment the images. The processors may also be configured to receive sensor data associated with the environment including sensor data generated by a sensor of a type different than an image capture device. The processors may be configured to associate the sensor data with segmented images to create a training dataset. The processors may be configured to transmit the training dataset to a machine learning network configured to run a sensor data segmentation model, and train the sensor data segmentation model using the training dataset, such that the sensor data segmentation model is configured to segment sensor data. | 2021-02-25 |
20210056706 | GROSS TUMOR VOLUME SEGMENTATION METHOD AND COMPUTER DEVICE - In a GTV segmentation method, a PET-CT image pair and an RTCT image of a human body are obtained. A PET image in the PET-CT image pair is aligned to the RTCT image to obtain an aligned PET image. A first PSNN performs a first GTV segmentation on the RTCT image to obtain a first segmentation image. The RTCT image and the aligned PET image are concatenated into a first concatenated image. A second PSNN performs a second GTV segmentation on the first concatenated image to obtain a second segmentation image. The RTCT image, the first segmentation image, and the second segmentation image are concatenated into a second concatenated image. A third PSNN performs a third GTV segmentation on the second concatenated image to obtain an object segmentation image. | 2021-02-25 |
20210056707 | REGION EXTRACTION APPARATUS AND REGION EXTRACTION METHOD - A region extraction apparatus provided with a candidate extraction unit, a categorization unit and a region extraction unit. The candidate extraction unit extracts a difference region where a first ground surface image photographed from above at a first time point and a second ground surface image photographed at a second time point are different. The categorization unit estimates a first category of a first object photographed in correspondence with a position in the first ground surface image, calculates a first categorization image indicating a relationship between the position of the first object and the first category, estimates a second category of a second object photographed in correspondence with a position in the second ground surface image and calculates a second categorization image indicating a relationship between the position of the second object and the second category. The region extraction unit extracts an extraction region from the difference region. | 2021-02-25 |
20210056708 | TARGET DETECTION AND TRAINING FOR TARGET DETECTION NETWORK - A method, apparatus and device for target detection, as well as a training method, apparatus and device for target detection network are disclosed. The method for target detection includes that: feature data of an input image is obtained; multiple candidate bounding boxes of the input image are determined according to the feature data; a foreground segmentation result of the input image is obtained according to the feature data, the foreground segmentation result including indication information for indicating whether each of the input image belongs to a foreground; and a target detection result of the input image is obtained according to the multiple candidate bounding boxes and the foreground segmentation result. | 2021-02-25 |
20210056709 | DETECTION OF MOMENT OF PERCEPTION - In one embodiment, a method includes receiving a machine-learning model trained to detect a specified motion using multiple videos, wherein each video has at least one frame labeled as a moment of perception of the specified motion, identifying an object-of-interest depicted in an input video, detecting a motion of the object-of-interest, determining that the detected motion is the specified motion, and classifying one of the frames of the input video as the moment of perception of the specified motion. | 2021-02-25 |
20210056710 | VIDEO OBJECT DETECTION - A method for video object detection includes detecting an object in a first video frame, and selecting a first interest point and a second interest point of the object. The first interest point is in a first region of interest located at a first corner of a box surrounding the object. The second interest point is in a second region of interest located at a second corner of the box. The second corner is diagonally opposite the first corner. A first optical flow of the first interest point and a second optical flow of the second interest point are determined. A location of the object in a second video frame is estimated by determining, in the second video frame, a location of the first interest point based on the first optical flow and a location of the second interest point based on the second optical flow. | 2021-02-25 |
20210056711 | ARITHMETIC PROCESSING APPARATUS AND METHOD - An arithmetic processing apparatus, includes a memory; and a processor coupled to the memory and the processor configured to: estimate an optical flow between consecutive frames of a moving image, and generate a sound wave corresponding to a target moving image, based on an optical flow estimated for the target moving image, and a deep neural network that generates a sound wave corresponding to an input optical flow and that has performed learning, by associating with time, an optical flow estimated for a moving image with sound wave and a sound wave of the moving image with sound wave. | 2021-02-25 |
20210056712 | SYSTEMS AND METHODS FOR ESTIMATING DYNAMICS OF OBJECTS USING TEMPORAL CHANGES ENCODED IN A DIFFERENCE MAP - System, methods, and other embodiments described herein relate to tracking dynamic objects in a surrounding environment of a vehicle. In one embodiment, a method includes, in response to acquiring sensor data from at least one sensor, generating a current occupancy map that indicates locations of occupied grid cells as identified by the sensor data. The method includes updating a difference map according to the current occupancy map. The difference map encodes temporal changes in relation to prior states of occupancy of the grid cells to track dynamic objects in the surrounding environment over a defined temporal horizon. The method includes computing dynamics of the dynamic objects according to the difference map. The method includes providing the dynamics to at least one vehicle system within the vehicle. | 2021-02-25 |
20210056713 | SURROUND VEHICLE TRACKING AND MOTION PREDICTION - A surround multi-object tracking and surround vehicle motion prediction framework is provided. A full-surround camera array and LiDAR sensor based approach provides for multi-object tracking for autonomous vehicles. The multi-object tracking incorporates a fusion scheme to handle object proposals from the different sensors within the calibrated camera array. A motion prediction framework leverages the instantaneous motion of vehicles, an understanding of motion patterns of freeway traffic, and the effect of inter-vehicle interactions. The motion prediction framework incorporates probabilistic modeling of surround vehicle trajectories. Additionally, subcategorizing trajectories based on maneuver classes leads to better modeling of motion patterns. A model takes into account interactions between surround vehicles for simultaneously predicting each of their motion. | 2021-02-25 |
20210056714 | DATA SYNCHRONIZATION DEVICE, DATA SYNCHRONIZATION METHOD, AND COMPUTER READABLE MEDIUM - In a data synchronization device ( | 2021-02-25 |
20210056715 | OBJECT TRACKING METHOD, OBJECT TRACKING DEVICE, ELECTRONIC DEVICE AND STORAGE MEDIUM - The present disclosure provides an object tracking method and an object tracking device. The object tracking method is applied to an image capturing system which includes at least two cameras having image capturing areas at least partially overlapped. The object tracking method includes: obtaining images captured by the at least two cameras, respectively; and respectively identifying objects in the images captured by the at least two cameras; obtaining a feature value of each object, and calculating a position of each object in each image in a global coordinate system; when there are two objects, which are respectively in the images captured by the at least two cameras and have an overall difference value being less than a threshold, counting the two objects as an identical object; wherein the overall difference value is a value determined according to a feature difference value and a position difference value of the two objects. | 2021-02-25 |
20210056716 | COMBINED POINT CLOUD GENERATION USING A STATIONARY LASER SCANNER AND A MOBILE SCANNER - Three-dimensional (3D) point cloud generation using a stationary laser scanner and a mobile scanner. The method includes scanning a first part of a surrounding with the stationary laser scanner, obtaining a first 3D point cloud, scanning a second part of the surrounding with the mobile scanner, obtaining a second 3D point cloud, whereby there is an overlap region of the first part and the second part, and aligning the second 3D point cloud to the first 3D point cloud to form a combined 3D point cloud. The positional accuracy of points of the second 3D point cloud is increased by automatically referencing second scanner data of the overlap region, generated by the mobile scanner, to first scanner data of the overlap region, generated by the stationary laser scanner. Therewith, deformations of the second 3D point cloud and its alignment with the first 3D point cloud are corrected. | 2021-02-25 |
20210056717 | LOWER TO HIGHER RESOLUTION IMAGE FUSION - The present invention relates to image fusion of lower resolution images ( | 2021-02-25 |
20210056718 | DOMAIN ADAPTATION FOR ANALYSIS OF IMAGES - A system for analyzing images includes a processing device including a receiving module configured to receive an image associated with a target domain, and a domain adaptation module configured to characterize one or more features represented in the received image based on a domain adaptation model. The domain adaptation model is generated using a machine learning algorithm to train the domain adaptation model, and the machine learning algorithm is configured to train the domain adaptation model based on one or more source domain images associated with a source domain, one or more previously acquired images associated with the target domain, and acquired characterization data associated with the target domain. The system also includes an output module configured to output the received image with characterization data identifying one or more features characterized by the domain adaptation module. | 2021-02-25 |
20210056719 | METHOD FOR PROCESSING IMAGE IN VIRTUAL REALITY DISPLAY DEVICE AND RELATED VIRTUAL REALITY DISPLAY DEVICE - A method for processing an image in a virtual reality display device and a related virtual reality display device are provided. A gaze area and a non-gaze area are determined in a display area of a virtual reality display device. At a first time instant, a rendering process is performed in the gaze area and the non-gaze area to generate a first image. Based on attitude information of the virtual reality display device at a second time instant, a time warping process is performed on the first image to generate a second image. Based on the movement information and attribute information of the motion object in the gaze area, the second image is modified. With the modifying the second image, problems caused by the time warping process can be avoided, delays can be reduce, and smearing or ghosting can be avoided, thus a good display effect can be obtained. | 2021-02-25 |
20210056720 | INFORMATION PROCESSING DEVICE AND POSITIONAL INFORMATION OBTAINING METHOD - An information processing device extracts an image of a marker from a photographed image, and obtains a position of a representative point of the marker in a three-dimensional space. Meanwhile, a position and an attitude corresponding to a time of photographing the image are estimated on the basis of an output value of a sensor included in a target object. A weight given to positional information of each marker is determined by using a target object model on the basis of the estimation, and positional information of the target object is calculated. Further, final positional information is obtained by synthesizing estimated positional information at a predetermined ratio, and the final positional information is output and fed back for a next estimation. | 2021-02-25 |
20210056721 | SENSOR ASSEMBLY FOR AN AGRICULTURAL IMPLEMENT AND RELATED SYSTEMS AND METHODS FOR MONITORING FIELD SURFACE CONDITIONS - A system for monitoring field surface conditions includes a support arm and a housing coupled to the support arm such that the housing is supported adjacent to a surface of a field, with the housing extending over a portion of the surface such that a shielded surface area is defined underneath the housing. The system also includes a light source configured to illuminate at least a portion of the shielded surface area defined underneath the housing such that a shadow is created adjacent a surface feature positioned within the shielded surface area and an imaging device configured to capture an image of the surface feature and the adjacent shadow created by the surface feature. Moreover, the system includes a controller configured to estimate a parameter associated with the surface feature based at least in part on an analysis of the adjacent shadow depicted within the image. | 2021-02-25 |
20210056722 | METHOD FOR MEASURING ANTENNA DOWNTILT ANGLE BASED ON DEEP INSTANCE SEGMENTATION NETWORK - A method for measuring an antenna downtilt angle based on a deep instance segmentation network is disclosed, including: shooting an omni-directional antenna video using a drone; and transmitting the antenna video to a server in real time, and the server measuring an antenna downtilt angle in real time using a deep learning algorithm, the deep learning algorithm includes: a feature extraction network module for acquiring an antenna feature image; an instance segmentation module for binary segmentation of an antenna image and the background to distinguish antenna image pixels from background pixels; an antenna candidate box module for identifying and detecting the antenna image, acquiring an antenna candidate box and determining an antenna calibration box therefrom; and an antenna downtilt angle measuring module for measuring an antenna downtilt angle. | 2021-02-25 |
20210056723 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND MONITORING SYSTEM - An image processing device includes: a reception unit that receives at least one first image provided from at least one first camera capturing an image of a region in which an object exists and a plurality of second images provided from a plurality of second cameras capturing images of a region including a dead region hidden by the object and invisible from a position of the first camera; and an image processing unit that generates a complementary image, as an image of a mask region in the at least one first image corresponding to the object, from the plurality of second images and generates a synthetic display image by combining the at least one first image and the complementary image. | 2021-02-25 |
20210056724 | SYSTEM AND METHOD OF IMAGING EVIDENCE AT A SCENE - A system and method for documenting a scene having evidence markers is provided. The method includes placing the evidence markers in the scene. A plurality of 3D coordinates of points are measured on surfaces in the environment, a first portion of the plurality of 3D coordinates being on a first evidence marker of the evidence markers, the evidence marker having a photogrammetric symbol on one surface. A point cloud is generated from the plurality of 3D coordinates. The first evidence marker in the point cloud based is automatically identified at least in part on the photogrammetric symbol. The location and at least one attribute of the evidence marker are stored. | 2021-02-25 |
20210056725 | MACHINE VISION SYSTEM AND METHOD - A system and method for creating a reference frame for use in defining a pose of a machine vision device are provided. A reference frame comprising a unique pattern of infrared features is generated and the pattern is rendered into a viewing location for capture by the machine vision device and for use in determining the pose of the machine vision device relative to the reference frame. The machine vision device is configured to capture one or more images of the viewing location in infrared, detect the pattern in the one or more captured images, and determine the pose in real-time, based on the pattern as detected. | 2021-02-25 |
20210056726 | CALIBRATION DEVICE, CALIBRATION METHOD, AND CALIBRATION CHART DEVICE - In a calibration chart device | 2021-02-25 |
20210056727 | IMAGING APPARATUS, MOVEABLE BODY, AND IMAGING METHOD - An imaging apparatus comprises a camera and a controller. The camera generates a captured image. The controller superimposes a calibration object movable by translation or rotation in the captured image. In the case where a plurality of indexes I located at positions determined with respect to a moveable body having the camera mounted therein are subjected to imaging, the controller moves the calibration object so that a first corresponding portion coincides with an image of a first index of the plurality of indexes, and performs distortion correction on an area in the captured image determined based on a position of the image of the first index and a position of an image of a second index in the captured image and a position at which the calibration object is superimposed so that the image of the second index coincides with a second corresponding portion. | 2021-02-25 |
20210056728 | SELF-INITIALIZING MACHINE VISION SENSORS - Techniques are disclosed for performing an initialization process for a set of FOV sensors using a set of initialization modules that are attachable to or integrated with the set of FOV sensors. A vertical distance associated with the set of FOV sensors is detected. An inter-module distance between a first initialization module and a second initialization module is detected. It is determined whether a placement of the second initialization module with respect to the first initialization module is acceptable based on the vertical distance and the inter-module distance. A feedback signal indicating whether the placement is acceptable is generated. The feedback signal is outputted at one or both of the first initialization module and the second initialization module. | 2021-02-25 |
20210056729 | TWO-PASS DECODING OF IMAGES - An image decoder includes a processor and a memory. The memory includes instructions configured to cause the processor to perform operations. The operations receive an encoded image, perform a first decoding of the encoded image to generate a first decoded image, store the first decoded image in the memory, process the first decoded image for displaying, perform a second decoding of the first decoded image and generate a second decoded image, and process the second decoded image for displaying. | 2021-02-25 |
20210056730 | PROCESSING A POINT CLOUD - At least one embodiment relates to a method for adding at least one 3D sample to a point cloud frame and for assigning a color-coding mode to said at least one 3D sample, said color-coding mode indicating if color information associated with said at least one 3D sample is explicitly encoded in a bitstream or if said color information is implicit. | 2021-02-25 |
20210056731 | METHODS AND DECOMPRESSION UNITS FOR DECOMPRESSING A COMPRESSED BLOCK OF IMAGE DATA - Methods and decompression units for decompressing data from a compressed block of image data, the compressed block of image data representing a block of image data comprising a plurality of image element values, the image element values being divisible into at least a first value and a second value such that the block of image data comprises a two-dimensional block of first values. The method comprises: analysing a header of the compressed block of image data to identify (i) a location in a body of the compressed block of image data of a fixed-length parameter that corresponds to a first desired value in the two-dimensional block of first values, and (ii) common base information for the first desired value, the common base information being common to a first set of values comprising all of the two-dimensional block of first values or a portion of the two-dimensional block of first values that includes the first desired value; retrieving the fixed-length parameter that corresponds to the first desired value from the identified location in the body of the compressed block of image data; and generating the first desired value from the common base information and the fixed-length parameter. | 2021-02-25 |
20210056732 | THREE-DIMENSIONAL DATA ENCODING METHOD, THREE-DIMENSIONAL DATA DECODING METHOD, THREE-DIMENSIONAL DATA ENCODING DEVICE, AND THREE-DIMENSIONAL DATA DECODING DEVICE - A three-dimensional data encoding method includes generating a bitstream by encoding subspaces included in a current space including three-dimensional points. In the generating of the bitstream: first information is stored in a first header which is common to the subspaces and included in the bitstream, the first information indicating first coordinates which are coordinates of the current space; and second information is stored in a second header which is provided on a subspace basis and included in the bitstream, the second information indicating a difference between second coordinates which are coordinates of a corresponding subspace among the subspaces and the first coordinates. | 2021-02-25 |
20210056733 | SYSTEMS AND METHODS FOR PRESENTATION OF AND INTERACTION WITH IMMERSIVE CONTENT - Communications devices and methods perform spatial, visual content and a separate preview of other content apart from the performed content. Content may include 3-D performances or AR content. Immersive visual content may be received by the communications device and simplified into transcript cells and/or performed render nodes based on metadata, visual attributes, and/or capabilities of the communications device for performance. Render nodes may preview other content, which is performable and selectable with ease from the communications device. Devices may perform both a piece of content and display, in context, render nodes for other visual content, as well as buffer and prepare unseen other content such that a user may seamlessly preview, select, and perform other visual content. Example GUIs may arrange nodes at a distance or arrayed long a selection line in the same coordinates as performed visual content. Users may input commands to move between or modify the nodes. | 2021-02-25 |
20210056734 | NEURAL NETWORK FOR GENERATING SYNTHETIC MEDICAL IMAGES - Systems, computer-implemented methods, and computer readable media for generating a synthetic image of an anatomical portion based on an origin image of the anatomical portion acquired by an imaging device using a first imaging modality are disclosed. These systems may be configured to receive the origin image of the anatomical portion acquired by the imaging device using the first imaging modality, receive a convolutional neural network model trained for predicting the synthetic image based on the origin image, and convert the origin image to the synthetic image through the convolutional neural network model. The synthetic image may resemble an imaging of the anatomical portion using a second imaging modality differing from the first imaging modality. | 2021-02-25 |
20210056735 | COMPUTER-IMPLEMENTED METHOD FOR THE RECONSTRUCTION OF MEDICAL IMAGE DATA - A computer-implemented method for reconstruction of medical image data includes receiving medical measuring data, and minimizing a cost value via gradient descent. Minimizing the cost value includes: reconstructing the medical image data by applying a reconstruction function to the received medical measuring data in accordance with reconstruction parameters; determining a cost value by applying a cost function to the reconstructed medical image data; determining a gradient of the cost function with respect to the reconstruction parameters; adjusting the reconstruction parameters based on the gradient of the cost function with respect to the reconstruction parameters and the previous reconstruction parameters; and providing the adjusted reconstruction parameters. The acts of the minimizing are repeated until a termination condition is met. The reconstructed medical image data is provided. | 2021-02-25 |
20210056736 | GENERATING CONCEPT IMAGES OF HUMAN POSES USING MACHINE LEARNING MODELS - Methods, systems, and computer program products for generating concept images of human poses using machine learning models are provided herein. A computer-implemented method includes identifying one or more events from input data by applying a machine learning recognition model to the input data, wherein the identifying comprises (i) detecting multiple entities from the input data and (ii) determining one or more behavioral relationships among the multiple entities in the input data; generating, using a machine learning interpretability model and the identified events, one or more images illustrating one or more human poses related to the identified events; outputting the one or more generated images to at least one user; and updating the machine learning recognition model based at least in part on (i) the one or more generated images and (ii) input from the at least one user. | 2021-02-25 |
20210056737 | GENERATING VECTOR GRAPHICS BY PROCESSING RASTER GRAPHICS - One embodiment of a disclosed system, method, and computer readable storage medium which includes an algorithm for generating a vector graphic based on a raster graphic input. A tablet scribe system identifies a boundary of a raster graphic image. The boundary is comprised of contrasting pixels in the raster graphic. The system determines a slope for each line segment of the raster graphic boundary. Based on a comparison of the slope for the adjacent line segments, the system generates a contour replaces line segments with equivalent slopes wherein each line segments represents a point on the contour. The system condenses the contour by removing redundant points on the contour based on their position relative to neighboring points and converts the edges of one or more remaining line segments into continuous curves on the contour. | 2021-02-25 |
20210056738 | COMMENTING IN 360 DEGREE VIEW IMAGE - A method, computer system, and computer program product for managing comments directed to a 360-degree image are provided. The embodiment may include identifying relative positions of a viewable area and user-posted comments by navigating a 360-degree image. The embodiment may also include validating content relevancy of the user-posted comments using a contextual analysis engine. The embodiment may further include aligning the user-posted comments in a different portion of the 360-degree image when the user-posted comments are misplaced or not contextually related to an original position of the viewable area. The embodiment may also include generating a 3D visualization diagram based on the validated user-posted comments, the aligned user-posted comments and the relative positions using a visualization engine. | 2021-02-25 |
20210056739 | SYSTEMS AND METHODS FOR UPDATING A THIRD PARTY VISUALIZATION IN RESPONSE TO A QUERY - Embodiments of the disclosure are systems and methods for updating third party visualizations in response to a query. In one embodiment, a method is provided that includes receiving input data comprising events, where the events comprise time-stamped machine-generated data. The method also comprises receiving a modular visualization that includes a variable field associated with a visualization and instructions for rendering the visualization using the input data and the variable field. Further, the method comprises rendering the visualization based on the input data and a value associated with the variable field. Additionally, the method comprises updating the value of the variable field and obtaining updated input data using a search query that is generated using the updated value. The visualization is re-rendered based on the updated input data and the updated value. | 2021-02-25 |
20210056740 | Influencing Factor Mixture Range Analysis Method and Influencing Factor Mixture Range Analysis Device - The purpose of the present invention is to enable mixture data in which different influencing factors are mixed to be stratified depending on influencing factor in failure analysis. A range setting unit | 2021-02-25 |
20210056741 | SYSTEM AND METHOD FOR GENERATING HISTOGRAMS - A method for constructing histograms may include receiving a set of data values, wherein the data values are two-dimensional or three-dimensional and the data values contain at least one measurement over time; creating a plurality of bins in memory, wherein the plurality of bins are log-linear bins using 2 significant digits base 10; creating a zero bin representing the number 0; placing non-zero numbers of the set of data values into the plurality of bins; and generating one or more histograms using the bins. | 2021-02-25 |
20210056742 | ALIGN-TO-GROUND, WEAKLY SUPERVISED PHRASE GROUNDING GUIDED BY IMAGE-CAPTION ALIGNMENT - A method, apparatus and system for visual grounding of a caption in an image include projecting at least two parsed phrases of the caption into a trained semantic embedding space, projecting extracted region proposals of the image into the trained semantic embedding space, aligning the extracted region proposals and the at least two parsed phrases, aggregating the aligned region proposals and the at least two parsed phrases to determine a caption-conditioned image representation and projecting the caption-conditioned image representation and the caption into a semantic embedding space to align the caption-conditioned image representation and the caption. The method, apparatus and system can further include a parser for parsing the caption into the at least two parsed phrases and a region proposal module for extracting the region proposals from the image. | 2021-02-25 |
20210056743 | METHOD AND APPARATUS OF SIMULATING APPAREL REFLECTING BINDING - According to an embodiment, a method and an apparatus for simulating apparel reflecting binding receive a user input for setting a binding region in clothes draped to a three-dimensional (3D) avatar model, calculating a sum of at least one length corresponding to the binding region in at least one base pattern constituting the clothes, based on the user input, generate a virtual binding pattern combined with the at least one base pattern, based on the sum of the at least one length, and drape the clothes to the 3D avatar model based on the at least one base pattern and the virtual binding pattern. | 2021-02-25 |
20210056744 | SYSTEM AND METHOD FOR CREATING CUSTOMIZED CHARACTERS AND SELECTIVELY DISPLAYING THEM IN AN AUGMENTED OR VIRTUAL REALITY DISPLAY - A system and method of creating customized characters and selectively displaying them in an electronic display, such as an augmented reality or virtual reality display is provided. A digital character may be provided by a character provider for customization by others using the system. Such customizations may be instantiated in user devices that provide electronic displays. Instantiation of the custom digital character may be conditioned on one or more trigger conditions, which may be specified by the character customizer. For example, a digital character customized using the system may be conditioned on triggering events in the real-world or in a virtual world. When a relevant triggering condition is satisfied at a user device, the custom character (i.e., information for instantiating the custom character) may be transmitted to that user device. In this manner, the system may push custom characters to user devices that satisfy the triggering condition. | 2021-02-25 |
20210056745 | TECHNOLOGY FOR MANAGING GRAPHIC DESIGN USING METADATA RELATIONSHIPS - Systems and methods for managing graphic design using metadata relationships are described. According to certain aspects, an electronic device may display a visual design including a set of design elements, each of which may be contained within a corresponding container. The electronic device may receive a selection to spatially adjust a design element, and may determine a modification to the design element based an element behavior of the design element and/or a container behavior of the corresponding container. The electronic device may display, in the user interface, the design element reflecting the modification. | 2021-02-25 |