21st week of 2022 patent applcation highlights part 51 |
Patent application number | Title | Published |
20220164903 | Home Utility Management System - A utility management system and method including a water collection apparatus; a water storage apparatus in fluid communication with the water collection apparatus; a water storage quantity sensor; one or more water usage sensors; an energy generation apparatus; an energy storage apparatus coupled to the energy generation apparatus; an energy storage quantity sensor; one or more energy usage sensors; a processor with one or more channels to receive at least weather forecast data, water usage data, and energy usage data, and one or more channels to send at least a request for weather forecast data, wherein the processor is coupled to the one or more water usage sensors and energy usage sensors, and wherein the processor is programmed to use the received data to project water collection, water storage, energy generation, and energy storage and to formulate recommendations for water and energy usage; a control interface; and a data display. | 2022-05-26 |
20220164904 | INFORMATION PROCESSING METHOD, INFORMATION PROCESSING DEVICE AND NON-TRANSITORY STORAGE MEDIUM - A controller of an information processing apparatus including a controller configured to detect information to indicate a start of use of digital content by a user; acquire information to indicate a period of use of the digital content; and determine a necessity of providing food and beverages to the user based on the information to indicate a period of use. | 2022-05-26 |
20220164905 | Home Services Software Solution With Live Communication - Systems and methods are provided for establishing effective communication between various participants in buying and selling real estate and related services. The system provides listings of professionals within the user's defined location, allowing the user to select one or more desired professionals so that the system provides effective communication between the user and any such professionals. The system also provides the ability to chat while exchanging pictures, videos, and documents needed for real estate transactions. | 2022-05-26 |
20220164906 | ENHANCED SAFETY TRACKING IN REAL ESTATE TRANSACTIONS - Disclosed are various aspects of computer-implemented systems and methods for enhancing safety in real estate transactions. In one aspect a user is provisioned with a real estate mobile application with a safety engine on a mobile computing device. Next, the user enters parameters or the application automatically populates parameters based off at least a safety timer limit, a time extension amount, an emergency contact, a timer authentication code, or an emergency code. Next, a user selects a property and visits, wherein the application initiates GPS tracking and checks the user in. The user's property visits, check in and check out are logged and streamed to a database for verification. If the user fails to check out or respond to the timer authentication code an emergency service is alerted and or the device emits an emergency audible sound. | 2022-05-26 |
20220164907 | EXCHANGE FOR TRADING RADIO FREQUENCY USAGE RIGHTS - According to various embodiments, systems and methods are provided for enabling parties to create, define, buy, and sell usage rights in radio frequency (RF) ranges, e.g., via a computerized trading exchange. The usage rights may comprise exclusive or shared ownership or lease interests. A government or other entity may initially offer on the exchange usage rights in radio frequencies owned or controlled by the government. The usage rights may be sold to market participants, e.g., through a competitive bidding process such as a reverse auction, Dutch auction, RFQ, or other methodology. Such rights may be transferred subject to government use, e.g., in emergency situations. Information associated with offered RF usage rights such as historical usage data, geographical reach, and available RF equipment may be published on the exchange. The exchange may also enable secondary trading of usage rights. | 2022-05-26 |
20220164908 | Method And System For Earthquake Disaster Level Assessment - The present disclosure provides a method and system for earthquake disaster level assessment. The method includes: obtaining earthquake disaster information at an initial stage of an earthquake; determining a casualty assessment model based on an epicentral intensity as a core factor, an earthquake magnitude, a seismic intensity, an earthquake origin time, and a population density in a seismic area; determining an earthquake economic loss assessment model based on the earthquake magnitude, the seismic intensity, and gross domestic product (GDP) per capita; establishing an earthquake disaster level assessment model based on the casualty assessment model and the earthquake economic loss assessment model; and determining an earthquake disaster level based on the earthquake disaster level assessment model and initiating an emergency response based on the earthquake disaster level. The present disclosure can quickly assess an earthquake disaster level and initiate an emergency response. | 2022-05-26 |
20220164909 | Frictionless Patron Monitoring - An identity of a patron within an establishment is authenticated when the patron enters the establishment using a variety of attributes captured in a real-time video. The identity is mapped to a registered profile of the patron that comprises at least a registered payment method. The patron is tracked to locations within the establishment as the patron moves around the establishment. Actions, behaviors, and gestures of the patron are mapped to service requests from the video. Staff are dispatched to prepare services items for the service requests and to assist the patron at current patron location within the establishment. The staff and the service items are also monitored from the video. Furthermore, the staff and the patron are monitored in the video for prohibited behaviors and actions. When the patron leaves the establishment, payment for the service items is automatically processed using the registered payment method of the registered profile. | 2022-05-26 |
20220164910 | PRIORITIZED TRANSPORTATION REQUESTS FOR A DYNAMIC TRANSPORTATION MATCHING SYSTEM - The present disclosure relates to systems, non-transitory computer-readable media, and methods for identifying provider devices and corresponding vehicles as candidates to transport time-sensitive (or otherwise prioritized) requestors and providing prioritized transportation options as fast passes for display on such requestors' devices. To provide such a prioritized transportation option, the disclosed systems can identify provider devices either matched or unmatched with requestors as candidates for prioritized transport based on estimated times of arrivals (ETAs) of vehicles for the candidate provider devices at the requestor's pickup location. Based on the ETAs at the pickup location, the disclosed systems can select a closest provider device from among the candidate provider devices to transport a prioritized requestor. After matching the prioritized requestor to the closest provider device, the disclosed systems can further search for providers with sooner ETAs. | 2022-05-26 |
20220164911 | ENHANCED DESTINATION INFORMATION FOR RIDESHARE SERVICE - The present disclosure provides a method comprising receiving a ride request from a user having a user profile, the ride request including a requested drop-off location within a service area and the user profile specifying at least one drop-off location preference parameter; querying a database to obtain data regarding a condition of the requested drop-off location, wherein the data is collected by a plurality of vehicles traversing the service area and equipped with at least one sensor and at least one imaging device; determining whether the obtained data satisfies the at least one drop-off location preference parameter; and determining at least one alternative drop-off location within a first distance from the requested drop-off location if the obtained data does not satisfy the at least one drop-off location preference parameter. | 2022-05-26 |
20220164912 | DYNAMICALLY ADJUSTING A POOL OF TRANSPORTATION PROVIDER DEVICES IN A PRIORITIZED-DISPATCH MODE USING AVAILABILITY INDICATORS - The present application discloses systems, methods, and computer-readable media that can dynamically control a number of provider devices operating in a prioritized-dispatch mode by determining a range of prioritized-dispatch-mode slots for a target time based on differences between value metrics received by provider devices operating in multiple dispatch modes and sending availability nudges to provider devices based on the range of prioritized-dispatch-mode slots. For instance, the disclosed systems can generate a threshold-noticeable-value difference between historical value metrics received by provider devices while operating in a prioritized-dispatch mode and in a basic-dispatch mode. Based on the threshold-noticeable-value difference, the disclosed systems determine a range of slots for the prioritized-dispatch mode during a target time period for a geographic area. Based on the determined range of slots, the disclosed systems can transmit prioritized-mode-availability indicators to provider devices to indicate varying levels of availability of the prioritized-dispatch mode for the geographic area. | 2022-05-26 |
20220164913 | SYSTEMS AND METHODS FOR UTILIZING MODELS TO DETERMINE REAL TIME ESTIMATED TIMES OF ARRIVAL FOR SCHEDULED APPOINTMENTS - A device may receive schedule data identifying schedules of appointments for drivers of vehicles and may receive location data identifying geographical locations of the vehicles. The device may receive traffic data identifying traffic conditions, and may process the received data, with a first model, to determine status data identifying estimated statuses of the appointments. The device may process the received data, with a second model, to generate sets of isochrones for destinations of the appointments, and may calculate, based on the sets of isochrones and the location data, estimated travel time data identifying estimated travel times for the appointments. The device may process the status data, the estimated travel time data, and the schedule data, with a third model, to calculate estimated time of arrival data identifying estimated times of arrival for the appointments, and may perform actions based on the estimated time of arrival data. | 2022-05-26 |
20220164914 | SYSTEMS AND METHODS FOR DYNAMICALLY SELECTING TRANSPORTATION OPTIONS BASED ON TRANSPORTATION NETWORK CONDITIONS - The disclosed computer-implemented method may include dynamically selecting transportation options to present to a transportation requestor device based on current transportation network conditions and transportation requestor device history. In some embodiments, transportation network may have many different ways of arranging a transportation requestor's trip, such as private rides, shared rides, immediate rides, and delayed rides. In some examples, the requestor's choice of transportation option may have an impact on the transportation network. In anticipation of or in response to a transportation request, the method may determine which transportation options will better benefit the transportation network and determine which transportation options to display to the requestor and/or the prominence with which the transportation products are displayed. Various other methods, systems, and computer-readable media are also disclosed. | 2022-05-26 |
20220164915 | VISION SENSOR DYNAMIC WATERMARKING VIA NOISE CHARACTERIZATION - Vision sensor dynamic watermarking via noise characterization are disclosed herein. An example device can capture an image by a first device, where the image comprising a pixel group has baseline noise characterization caused by a base noise profile for the first device. The device can produce a noise watermark to create a watermarked image, where the noise watermark can be produced by altering the baseline noise characterization to produce modified noise characterization. The device can also transmit the watermarked image to a receiver. | 2022-05-26 |
20220164916 | PROGRAMMABLE COARSE GRAINED AND SPARSE MATRIX COMPUTE HARDWARE WITH ADVANCED SCHEDULING - One embodiment provides for a compute apparatus to perform machine learning operations, the compute apparatus comprising a decode unit to decode a single instruction into a decoded instruction, the decoded instruction to cause the compute apparatus to perform a complex compute operation. | 2022-05-26 |
20220164917 | SYSTEMS AND METHODS FOR EXPLOITING QUEUES AND TRANSITIONAL STORAGE FOR IMPROVED LOW-LATENCY HIGH-BANDWIDTH ON-DIE DATA RETRIEVAL - Apparatuses including general-purpose graphics processing units and graphics multiprocessors that exploit queues or transitional buffers for improved low-latency high-bandwidth on-die data retrieval are disclosed. In one embodiment, a graphics multiprocessor includes at least one compute engine to provide a request, a queue or transitional buffer, and logic coupled to the queue or transitional buffer. The logic is configured to cause a request to be transferred to a queue or transitional buffer for temporary storage without processing the request and to determine whether the queue or transitional buffer has a predetermined amount of storage capacity. | 2022-05-26 |
20220164918 | FUNCTION-AS-A-SERVICE (FAAS) MODEL FOR SPECIALIZED PROCESSING UNITS - A server that includes a graphics processing unit (GPU) may receive, from a first application that is remote from the server, a first request to reserve a first number of cores of the GPU for a first amount of time. The server may also receive, from a second application that is also remote from the server, a second request to reserve a second number of cores of the GPU for a second amount of time that at least partly overlaps the first amount of time. The server may determine that the first request is associated with a higher priority than the second request and, in response, may reserve the first number of cores for the first amount of time for the first application. The server may send, to the first application, an indication that the first number of cores have been reserved as requested by the first application. | 2022-05-26 |
20220164919 | TILE BASED COMPUTER GRAPHICS - A method and system for generating and shading a computer graphics image in a tile based computer graphics system is provided. Geometry data is supplied and a plurality of primitives are derived from the geometry data. One or more modified primitives are then derived from at least one of the plurality of primitives. For each of a plurality of tiles, an object list is derived including data identifying the primitive from which each modified primitive located at least partially within that tile is derived. Alternatively, the object list may include data identifying each modified primitive located at least partially within that tile. Each tile is then shaded for display using its respective object list. | 2022-05-26 |
20220164920 | METHOD FOR PROCESSING IMAGE, ELECTRONIC EQUIPMENT, AND STORAGE MEDIUM - At least two images are acquired. At least two crop images are acquired by cropping the at least two images for face-containing images. Triangular patch deformation is performed on two neighbour images, generating a first triangular patch deformation frame image sequence and a second triangular patch deformation frame image sequence. Similarity transformation is performed on each image sequence of the first triangular patch deformation frame image sequence, acquiring a first transform frame image sequence. Similarity transformation is performed on each image sequence of the second triangular patch deformation frame image sequence, acquiring a second transform frame image sequence. The first and the second transform frame image sequences are fused, acquiring a video frame sequence corresponding to the two neighbour images. Of the at least two images, a video frame sequence generated by all neighbour images is coded, acquiring a destined video. | 2022-05-26 |
20220164921 | IMAGE PROCESSING METHOD AND APPARATUS - Disclosed is an image processing method and apparatus. The image processing method includes extracting a content latent code and a style latent code for each of a plurality of input images, obtaining a content feature vector by calculating a weighted sum of content latent codes extracted from the input images based on a morphing control parameter, obtaining a style feature vector by calculating a weighted sum of style latent codes extracted from the input images based on the morphing control parameter, and generating a morphing image based on the content feature vector and the style feature vector. | 2022-05-26 |
20220164922 | DEEP LEARNING-BASED IMAGE STITCHING METHOD AND APPARATUS - A deep learning-based image stitching method and apparatus are provided. The deep learning-based image stitching method includes receiving a plurality of images including a first image and a second image stitched to the first image, extracting a feature map of the plurality of images, generating a plurality of flow maps indicating movement information of pixels of the plurality of images, based on the feature map, generating a plurality of warping images in which the pixels of the plurality of images are moved, by applying the plurality of flow maps to the plurality of images, respectively, generating a plurality of weight maps for blending the plurality of warping images, based on the feature map, and generating a stitch image in which the first image and the second image are stitched, by blending the plurality of warping images based on the plurality of weight maps. | 2022-05-26 |
20220164923 | ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF - An electronic apparatus is disclosed. The electronic apparatus includes a memory configured to store a plurality of neural network models, and a processor connected to the memory and control the electronic apparatus in which the processor is configured to obtain a weight map based on an object area included in an input image, and obtain a plurality of images by inputting the input image to each of the plurality of neural network models, and obtain an output image by weighting the plurality of images based on the weight map, and each of the plurality of neural network models is a model trained to upscale an image. | 2022-05-26 |
20220164924 | Frequency Modulated Image Reconstruction - A system for a target image reconstruction includes a stepped frequency transmitter configured to emit a stepped frequency waveform having different constant frequencies at different periods of time and a modulator configured to modulate the stepped frequency waveform emitted at each period of time with a modulation signal to output a modulated stepped frequency waveform with an increased bandwidth. The system includes a transceiver configured to transmit the modulated stepped frequency waveform to a target and to accept reflection of the modulated stepped frequency waveform reflected from the target, a mixer to interfere the unmodulated stepped frequency waveform and the reflection of the modulated stepped frequency waveform to produce a beat signal of the interference of the unmodulated stepped frequency waveform with the reflection of the modulated stepped frequency waveform, and a signal processor to reconstruct an image of the target from the beat signal. | 2022-05-26 |
20220164925 | METHOD AND APPARATUS FOR SIMULTANEOUSLY ACQUIRING SUPER-RESOLUTION IMAGE AND HIGH-SPEED WIDEFIELD IMAGE - A method and apparatus for simultaneously acquiring a super-resolution image and a high-speed widefield image are disclosed. The image acquisition method includes receiving a first image signal from an optical microscope, generating, by using the first image signal, a first plurality of entire images, distinguishing, based on movements of a plurality of objects included in the first plurality of entire images, a dynamic region with respect to the first plurality of entire images and a static region with respect to the first plurality of entire images, and controlling the optical microscope so as to respectively irradiate lights having different amplitudes onto the dynamic region and the static region. | 2022-05-26 |
20220164926 | METHOD AND DEVICE FOR JOINT DENOISING AND DEMOSAICING USING NEURAL NETWORK - A method of joint denoising and demosaicing using a neural network to generate an output image and to a computing device for implementing the method is provided. The method includes obtaining image data collected by a color filter array (CFA), and jointly performing denoising and demosaicing on the CFA image data using a trained neural network to generate an output image, wherein the neural network has a lightweight U-Net architecture and is trained on a plurality of pairs of training images. One image in each pair of training images is obtained with a lower ISO value than another image in the pair of training images, and is processed by a processing algorithm (image signal processor (ISP)), and the other image in each pair of training images is in a format of CFA image data. | 2022-05-26 |
20220164927 | METHOD AND SYSTEM OF STATISTICAL IMAGE RESTORATION FOR LOW-DOSE CT IMAGE USING DEEP LEARNING - A method of statistical image restoration for a low-dose CT image using a deep learning, the method includes increasing a number of channels of the low-dose CT image, which is an input image, and decreasing a size of an activation map of the low-dose CT image using an encoder, passing the activation map generated by the encoder to a plurality of residual blocks, and increasing the size of the activation map passed through the residual blocks and generating a denoised result image using a decoder. | 2022-05-26 |
20220164928 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - The present disclosure relates to an image processing apparatus, an image processing method, and a program that are capable of correcting and displaying a multi-viewpoint image so that the multi-viewpoint image can be appropriately viewed. On multi-viewpoint images to be projected, geometrical correction is performed, blurring correction is performed, and by using the viewpoint images subjected to the geometric correction and the blurring correction, crosstalk correction is performed on the basis of each diffusion distribution. The present disclosure can be applied to a display device of a multi-viewpoint image. | 2022-05-26 |
20220164929 | CONTENT ADAPTED BLACK LEVEL COMPENSATION FOR A HDR DISPLAY BASED ON DYNAMIC METADATA - One embodiment provides a method comprising determining metadata corresponding to an input image, determining a black level of a display device and a peak luminance value of the display device, and determining a tone mapping function that adaptively compensates for the black level of the display device based on the metadata, the black level of the display device, and the peak luminance value of the display device. The metadata comprises a distribution of luminance values in the input image. The black level of the display device and the peak luminance value of the display device represent a lowest luminance value and a highest luminance value, respectively, achievable on the display device. The method further comprises applying the tone mapping function to the input image to generate a tone-mapped image that adaptively compensates for the black level of the display device and provided to the display device for presentation. | 2022-05-26 |
20220164930 | DISPLAY APPARATUS AND OPERATING METHOD THEREOF - A tone mapping apparatus includes a dynamic tone mapping module configured to generate a first tone mapping curve based on a luminance distribution histogram of input image data and generate first image data from the input image data using the first tone mapping curve, and a processor configured to generate an RGB distribution histogram, a detail region histogram and a high-luminance region histogram based on pixel information of the first image data, generate a second tone mapping curve using the RGB distribution histogram, the detail region histogram and the high-luminance region histogram and generate output image data from the first image data using the second tone mapping curve. | 2022-05-26 |
20220164931 | DISPLAY MANAGEMENT FOR HIGH DYNAMIC RANGE IMAGES - Methods and systems for the display management of HDR video signals are presented. The mapping is based on tone mapping and color volume mapping which map an input signal with an input dynamic range and color volume to a target display with a target dynamic range and color volume. Both a global tone-mapping and precision-mapping methods using pyramid filtering are presented. | 2022-05-26 |
20220164932 | IMAGE PROCESSING METHOD AND IMAGE PROCESSING DEVICE USING THE SAME - An image processing method includes: (a) receiving a to-be-processed image; (b) obtaining a target brightness of the to-be-processed image; (c) creating a histogram curve of the to-be-processed image; (d) clipping the histogram curve according to a clipping value; (e) obtaining a mapping function of the clipped histogram curve; (f) obtaining a mapped image mapped according to the mapping function; (g) obtaining an average brightness of the mapped image; (h) obtaining a difference between the target brightness and the average brightness; and (i) if the difference is greater than a threshold, adjusting the clipping value and repeating steps (d) to (i) until the difference is less than the threshold. Thus, if the to-be-processed image does not reach the target brightness, the image processing device automatically repeats steps (c) to (i) until the to-be-processed image reaches the target brightness. | 2022-05-26 |
20220164933 | METHOD FOR RESTORING IMAGES AND VIDEO USING SELF-SUPERVISED LEARNING - A method for processing images comprising: capturing a plurality of degraded images of a first real-world environment with a first sensor; processing each degraded image with a first, untrained convolutional neural network, via a Deep Image Prior approach, to obtain a plurality of clean images, wherein each clean image corresponds to a degraded image; pairing each clean image with its corresponding degraded image to create a plurality of degraded/clean image pairs; training, via a supervised learning approach, a machine learning model to learn a function for converting degraded images into restored images based on the plurality of degraded/clean image pairs; capturing a second plurality of degraded images of a second real-world environment; and using the trained machine learning model to convert the second plurality of degraded images into restored images based on the learned function. | 2022-05-26 |
20220164934 | IMAGE PROCESSING METHOD AND APPARATUS, DEVICE, VIDEO PROCESSING METHOD AND STORAGE MEDIUM - An image processing method and apparatus, a device, a video processing method and a storage medium are provided. The image processing method includes: receiving an input image; and processing the input image by using the convolutional neural network to obtain an output image. A definition of the output image is higher than a definition of the input image. Processing the input image by using the convolutional neural network to obtain the output image includes: performing feature extraction on the input image; concatenating the input image and the plurality of first images; performing the feature extraction on the first image group; fusing the plurality of second images and the plurality of first images; concatenating the input image and the plurality of third images to obtain a second image group; and performing the feature extraction on the second image group to obtain the output image. | 2022-05-26 |
20220164935 | PHOTO COMPOSITES - Systems, methods, and/or computer-program products for generating a photo composite are configured to identify a facial photo, assign a community such as a genetic community to the identified facial photo, select and retrieve a subset of photos from a genetic community, determine a landmark in each photo of the subset of photos, compute and apply a similarity transform to each photo based and its landmarks, update estimates of transformed averaged landmarks, calculate a triangularization of the transformed averaged landmarks, warp images to the average image landmarks, and combine the intensities of the warped images. The communities are identified from genetic information. The facial photos are identified from a network of genealogical trees and/or a collection of historical records. | 2022-05-26 |
20220164936 | MANUFACTURING MANAGEMENT METHOD - A manufacturing management device | 2022-05-26 |
20220164937 | MANUFACTURING MANAGEMENT METHOD - A manufacturing management device | 2022-05-26 |
20220164938 | INSPECTION SYSTEM, MANAGEMENT APPARATUS, INSPECTION METHOD, RECORDING MEDIUM, AND MANUFACTURING METHOD OF ARTICLE - An inspection system includes an image capturing unit configured to capture an image of a workpiece, and a processing unit configured to determine quality of the workpiece based on the image captured by the image capturing unit, wherein the processing unit determines whether the workpiece includes a defect based on a second image captured by the image capturing unit in a second inspection step, wherein the processing unit extracts a defective portion candidate of the workpiece based on the second image and a first image captured by the image capturing unit in a first inspection step performed before the second inspection step, and wherein the processing unit changes an inspection condition of the first inspection step based on the extracted defective portion candidate of the workpiece. | 2022-05-26 |
20220164939 | System and Method to Control the Quality of A Reflector Body of A Lamp for Motor Vehicles - A control system to control the quality of at least one reflector body of a lamp of a motor vehicle, comprising a light source, which is designed to emit a first light beam to irradiate the reflecting surface of the reflector body; an image capturing apparatus, which is arranged so as to capture a series of images) containing the irradiated reflecting surface of the reflector body; a processing device, which is configured so as to process the images), in order to determine the actual reflectance of the reflector body, and so as to determine a quality condition of the reflector body to be validated based on the actual reflectance. | 2022-05-26 |
20220164940 | CABLE PREPARATION INSPECTION DEVICE, SYSTEM AND METHOD - A device for analyzing or inspecting a prepared portion of a power cable includes a cable gripping section to grip a portion of the power cable proximate to a prepared end of the power cable, where the cable end has been prepared by removing certain portions of the power cable so that it can properly accept an electrical or cable accessory, such as a splice or termination. The device also includes an imaging device holding section to hold an imaging device at a predetermined radial distance from the prepared cable end. In particular, the imaging device holding section is radially and axially adjustable in position. During inspection of the prepared cable end, the imaging device is fully rotated about the prepared cable end to acquire a 360 degree image of the prepared cable end. | 2022-05-26 |
20220164941 | OBJECT COLLECTION SYSTEM AND METHOD - An object-collection system is disclosed. The system including a vehicle connected to a bucket, a camera connected to the vehicle, and an object picking assembly configured to pick up objects off of ground. The system further includes a processor that obtains object information for identified objects, guides the object-collection system over a target geographical area toward the identified objects based on the object information, captures images of the ground relative to the object picker as the object-collection system is guided towards the identified objects, identifies a target object in the images, tracks movement of the target object across the images as the object-collection system is guided towards the identified objects, and employs the tracked movement of the target object to instruct the object picker to pick up the target object. | 2022-05-26 |
20220164942 | DAMAGE DETECTION USING MACHINE LEARNING - Systems and methods for detecting hail damage on a vehicle are described including, receiving an image of at least a section of a vehicle. Detecting a plurality of hail damage including, detecting a plurality of damaged areas distributed over the entire section of the vehicle, and differentiating the plurality of damaged areas from one or more areas of noise, processing the received image to classify one or more sections of the vehicle as one or more panels of the vehicle bodywork, and using the detected areas of damage, the classification of the seriousness of the damage and the classification of one or more panels to compute a panel damage density estimate. | 2022-05-26 |
20220164943 | CIRCUIT BOARD DETECTION METHOD AND ELECTRONIC DEVICE - A circuit board detection method includes obtaining an input circuit board image, performing a detection on designated components of a circuit board in the circuit board image according to a preset detection method, determining whether a designated component in the circuit board image that fails the detection is allowed to shift within a preset angle range, and determining that the circuit board passes the detection when the designated component that fails the detection is allowed to shift within the preset angle range. The designated components include one or both of silkscreened components and non-silkscreened components. | 2022-05-26 |
20220164944 | Tire Sensing and Analysis System - The tire sensing and analysis system may comprise a measurement device and local application software. The measurement device may make contact with a tire of a vehicle such that the measurement device is positioned at a specific distance and orientation relative to the tire. The measurement device may capture multiple images of the tire using an RGB camera and a pair of infrared cameras. The local application software may analyze the images and may construct a 3D mesh describing the 3-dimensional contours of the tread. The local application software may determine a tread depth and may display status and warning messages on a display unit that is coupled to the measurement device. The measurements may be communicated to remote application software for additional analysis. As non-limiting examples, the remote application software may detect specific tire wear patterns and may transmit a report to share results of the analysis. | 2022-05-26 |
20220164945 | Repair/Replace and Labour Hours Determination - The present invention relates to the determination of repair operations for a damaged vehicle. More particularly, the present invention relates to determining repair operations, for example whether to repair or replace parts of a damaged vehicle and associated labour time required, for a damaged vehicle using images of the damage to the vehicle. | 2022-05-26 |
20220164946 | INTERPRETATION OF WHOLE-SLIDE IMAGES IN DIGITAL PATHOLOGY - Computer-implemented methods and systems are provided for interpreting a whole-slide image of a tissue specimen. Such a method includes detecting biological entities in a region of interest independently at each magnification level in a whole-slide image. An entity graph is generated for each magnification level, the entity graph comprising nodes, representing respective biological entities detected at that magnification level, interconnected by edges representing interactions between entities. The method also includes, for each region of interest, generating a hierarchical graph, defining a hierarchy of the entity graphs for that region, in which nodes of different entity graphs are interconnected by hierarchical edges representing hierarchical relations between nodes of the entity graphs. The method further comprises supplying the hierarchical graph for the region to an AI system to produce result data corresponding to a medical evaluation of the tissue specimen represented thereby, and outputting the result data for the tissue specimen. | 2022-05-26 |
20220164947 | IMAGE PROCESSING SYSTEM AND IMAGE PROCESSING METHOD - An image processing system includes an ophthalmoscope device and a processor. The ophthalmoscope device is configured to obtain a color fundus image. The processor is configured to receive the color fundus image; generate a blood vessel segmentation image that corresponds to the color fundus image using a computer vision algorithm or a deep learning model; preprocess the color fundus image and the blood vessel segmentation image to obtain an initial input image; and input the initial input image into a convolutional neural network. The convolutional neural network outputs a value. In addition, the processor generates fundus image analysis information from the cup-to-disc ratio and the value. | 2022-05-26 |
20220164948 | COMPUTER SYSTEM FOR AUTOMATICALLY SEARCHING FOR MENTAL DISORDER DIAGNOSIS PROTOCOL AND METHOD THEREOF - Provided are a computer system for automatically searching for a mental disorder diagnosis protocol and an method thereof that may determine at least one test region to be examined for a predetermined mental disorder diagnosis in a brain image of a patient based on a first artificial neural network, may determine a test process for the mental disorder diagnosis for the patient based on a second artificial neural network, and may provide a test protocol for the mental disorder diagnosis for the patient based on the test region and the test process. The computer system may visualize at least one of a position, a shape, a size, and an importance of the test region in the brain image. The test process may include test order of a plurality of test stages in which the brain image is to be used for the mental disorder diagnosis. | 2022-05-26 |
20220164949 | OPHTHALMIC IMAGE PROCESSING DEVICE AND OPHTHALMIC IMAGE PROCESSING METHOD - An ophthalmic image processing device processes an ophthalmic image of a subject eye. The ophthalmic image processing device includes a controller which acquires an ophthalmic image including a tomographic image of a plurality of tomographic planes in a subject eye, acquires a probability distribution for identifying two or more tissues included in a plurality of tissues in the tomographic image, by inputting the ophthalmic image into a mathematical model trained with using a machine learning algorithm, generates a structural abnormality degree map showing a two-dimensional distribution of a degree of abnormality of a structure in the tissue, for each of the two or more tissues, based on the probability distribution, and simultaneously displays two or more structural abnormality degree maps generated for each of the two or more tissues side by side on a display device. | 2022-05-26 |
20220164950 | METHOD AND SYSTEM FOR CALCULATING MYOCARDIAL INFARCTION LIKELIHOOD BASED ON LESION WALL SHEAR STRESS DESCRIPTORS - Method and systems are described that create a 3D reconstruction of a vessel of interest that represents a subset of a coronary tree that includes a lesion; calculate at least one of pressure parameters or anatomical parameters based at least in part on a portion of the 3D reconstruction that includes the lesion; calculate a wall shear stress (WSS) descriptor, based on the 3D reconstruction, for a segment of a surface of the vessel that includes the lesion, wherein the WSS descriptor includes information regarding an amount of variation in contraction or expansion applied at surface elements within the segment during at least a portion of a cardiac cycle; and calculate a myocardial infarction (MI) index based on the WSS descriptor and the at least one of the pressure or anatomical parameters, the MI index representing a likelihood that the lesion will result in an MI. | 2022-05-26 |
20220164951 | SYSTEMS AND METHODS FOR USING AI TO IDENTIFY REGIONS OF INTEREST IN MEDICAL IMAGES - Examples of the present disclosure describe systems and methods for using AI to identify regions of interest (ROI) in medical images. In aspects, medical reports and images may be provided to a first environment. The first environment may use the medical report data/medical images to train a natural language processing (NLP)-based algorithm to identify the location in images of ROI described in the medical report data. The output of the NLP-based algorithm may be stored in an ROI repository in the first environment. After the NLP-based algorithm has been trained, a request to train a user-specific model may be received in a second environment. Data objects for the requested user-specific model may be provided to the first environment, which uses the ROI repository to train the model. The trained model may be provided to the second environment, where the trained user-specific model/algorithm may be tested and stored. | 2022-05-26 |
20220164952 | Capture and Storage of Magnified Images - An imaging system includes a microscope to generate magnified images of regions of interest of a tissue sample, a camera to capture and store the magnified images, and a controller. The controller is configured to, for each magnification level in a sequence of increasing magnification levels, image one or more regions of interest of the tissue sample at the current magnification level. For each region of interest, data is generated defining one or more refined regions of interest based on the magnified image of the region of interest of the tissue sample at the current magnification level. Each refined region of interest corresponds to a proper subset of the tissue sample, and the refined regions of interest of the tissue sample provide the regions of interest to be imaged at a next magnification level from the sequence of increasing magnification levels. | 2022-05-26 |
20220164953 | 3D VESSEL CENTERLINE RECONSTRUCTION FROM 2D MEDICAL IMAGES - Systems and methods for determining a 3D centerline of a vessel are provided. A current state observation of an artificial agent is determined based on one or more image view sets, each including 2D medical images of a vessel, a current position of the artificial agent in the 2D medical images, and a start position and a target position in the 2D medical images. Policy values are calculated for a plurality of actions for moving the artificial agent in 3D based on the current state observation using a trained machine learning model. The artificial agent is moved according to a particular action based on the policy values. The steps of determining, calculating, and moving are repeated for a plurality of iterations to move the artificial agent along a 3D path between the start position and the target position. The 3D centerline of the vessel is determined as the 3D path. | 2022-05-26 |
20220164954 | DENTAL OBJECT DETECTION METHOD, AND IMAGE MATCHING METHOD AND DEVICE USING DENTAL OBJECT - An image registration method using a dental object, comprises a generation step of generating a plurality of reference points spaced apart from each other in an oral scan image of a registration target and a computed tomography (CT) image of a registration target, respectively; and a step of registering the oral scan image of the registration target and the CT image of the registration target by using the reference point of the oral scan image (a first reference point) and the reference point of the CT image (a second reference point), wherein the first and second reference points comprise a reference point for one frontmost tooth in the front teeth area and a reference point for two teeth on both rearmost sides of the back teeth area, and wherein the first reference point is derived from an object which is a simplified shape of the teeth. | 2022-05-26 |
20220164955 | MULTIFACETED REGISTRATION OF INTRAORAL SCANS - A system includes an intraoral scanner that generates a plurality of intraoral images of a dental site and a computing device. The computing device generates a first surface of a first region of the dental site based on a first intraoral image and generates a second surface of a second region of the dental site based on a second intraoral image. The computing device determines relative positions of the first surface and the second surface, wherein overlap between the first region of the dental site represented in the first intraoral image and the second region of the dental site represented the second intraoral image is insufficient for registration of the second intraoral image to the first intraoral image. The computing device outputs the first surface and the second surface having the relative positions to a display. | 2022-05-26 |
20220164956 | METHOD AND SYSTEM FOR CELL ISOLATION ASSISTANCE AND COMPUTER-READABLE MEDIUM - A method for assisting in cell isolation from a biological tissue section includes: obtaining cell images that are each an image of cells isolated from the biological tissue section, the biological tissue section being soaked in a solution containing an enzyme; calculating, from the cell images, a number of the cells isolated from the biological tissue section as an indicator of the cell isolation from the biological tissue section; and visualizing a temporal change in the indicator on the basis of a history of the indicator. | 2022-05-26 |
20220164957 | RECOGNITION METHOD OF INTRACRANIAL VASCULAR LESIONS BASED ON TRANSFER LEARNING - A recognition method of intracranial vascular lesions based on transfer learning is provided, which includes: obtaining a bright-blood image group, a black-blood image group and an enhanced black-blood image group; registering bright-blood images to obtain a registered bright-blood image group; eliminating flowing void artifact to obtain an artifact-elimination enhanced black-blood image group; subtracting each image of the artifact-elimination enhanced black-blood image group from corresponding black-blood image to obtain angiography enhanced images; establishing a blood 3D model; establishing a vascular 3D model with blood boundary expansion; establishing an angiography enhanced 3D model by using the angiography enhanced images; obtaining an intracranial vascular enhanced 3D model based on the blood 3D model, the vascular 3D model and the angiography enhanced 3D model; and obtaining an intracranial vascular lesion recognition model based on the intracranial vascular enhanced 3D model. The method can simply, quickly and intuitively recognize the intracranial vascular lesions clinically. | 2022-05-26 |
20220164958 | Method Of Using Camera For Both Internal And External Monitoring Of A Vehicle - A camera has a field of view encompassing a portion of an environment outside of a motor vehicle and a portion of an environment inside a passenger compartment of the motor vehicle. An electronic processor is communicatively coupled to the camera and receives captured images from the camera. The electronic processor separates first extracted images from the captured images. The first extracted images correspond to the portion of the environment outside of the motor vehicle. The electronic processor transmits the first extracted images to a first software application for monitoring the environment outside of the motor vehicle. The electronic processor separates second extracted images from the captured images. The second extracted images correspond to the portion of the environment inside a passenger compartment. The electronic processor transmits the second extracted images to a second software application for monitoring human beings in the passenger compartment. | 2022-05-26 |
20220164959 | Protocol-Aware Tissue Segmentation in Medical Imaging - For medical imaging such as MRI, machine training is used to train a network for segmentation using both the imaging data and protocol data (e.g., meta-data). The network is trained to segment based, in part, on the configuration and/or scanner, not just the imaging data, allowing the trained network to adapt to the way each image is acquired. In one embodiment, the network architecture includes one or more blocks that receive both types of data as input and output both types of data, preserving relevant features for adaptation through at least part of the trained network. | 2022-05-26 |
20220164960 | GEOLOGICAL LINEAR BODY EXTRACTION METHOD BASED ON TENSOR VOTING COUPLED WITH HOUGH TRANSFORMATION - The present disclosure provides geological linear body extraction method based on tensor voting coupled with Hough transformation, including pre-processing a remote sensing image to obtain a pre-processed remote sensing image; selecting three optimal wavebands from N multi-spectral wavebands of the pre-processed remote sensing image, so as to obtain a remote sensing image combined by the optimal wavebands, N being a natural number greater than or equal to 3; using Gaussian high-pass filtering to perform sharpening processing on the remote sensing image combined by the optimal wavebands, so as to enhance linearized edge information; performing edge detection on the remote sensing image having enhanced linearized edge information, so as to obtain all edge points in the remote sensing image; and converting all the edge points in the remote sensing image from an image coordinate system to a parameter coordinate system, and extracting a geological linear body from the parameter coordinate system. | 2022-05-26 |
20220164961 | METHOD AND APPARATUS WITH OBJECT TRACKING - A method, apparatus, and system with tracking are disclosed. The apparatus is configured to acquire a feature map of a template image, a color histogram of a foreground of the template image that has an object, and a color histogram of a background of the template image other than the foreground, acquire a feature score map, and a bounding box map corresponding to the feature score map, based on the feature map of the template image and a feature map of a search image, acquire a color score map based on the color histogram of the foreground, the color histogram of the background, and a color value of the search image, acquire a final score map, and a bounding box map corresponding to the final score map, based on the feature score map, the color score map, and the bounding box map, and output the corresponding bounding box. | 2022-05-26 |
20220164962 | METHOD FOR MEASURING HUMIDITY AND ELECTRONIC DEVICE USING SAME - A method for measuring humidity at long range using simplified equipment includes creating a formula according to a relationship between multiple sets of known optical flow feature vectors and a known humidity. First and second images are obtained, wherein the first image and the second image are captured as being in the same range of capture. A plurality of feature points in the first image is obtained and an optical flow feature vector for each of the feature points according to apparent changes in position of each feature point according to the second image are calculated. The degree of current humidity according to the optical flow feature vectors and the formula is thus obtained. | 2022-05-26 |
20220164963 | INFORMATION PROCESSING DEVICE, ESTIMATION METHOD, AND NONTRANSITORY COMPUTER READABLE MEDIUM - An information processing device includes a reference image generation unit that generates a reference image by using a partial area including a head of a tracking target in a whole-body image of the tracking target, a comparative image generation unit that generates a comparative image to be used for comparison with the reference image by using the partial area containing the head of the tracking target in a tracking image of the tracking target where feet are not contained, an adjustment unit that compares the reference image with the comparative image, and adjusts a position of the head of the tracking target in the comparative image, and a feet estimation unit that estimates a position of the feet of the tracking target in the tracking image by using the comparative image where the position of the head of the tracking target is adjusted. | 2022-05-26 |
20220164964 | AUTO-EXCLUSION ZONE FOR CONTOUR-BASED OBJECT DETECTION - A system includes a first sensor and a sensor client. During an initial time interval, the sensor client receives images generated by the first sensor and detects contours in the images. The sensor client determines, based on the contours, regions of the images generated by the first sensor to exclude during object tracking. During a subsequent time interval, the sensor client receives a second image generated by the first sensor and detects a contour in the image. The sensor client determines pixel coordinates of the second contour and determines whether at least a threshold percentage of the second pixel coordinates overlap with the region to exclude during object tracking. If at least the threshold percentage of the second pixel coordinates overlap with the region to exclude, a position for tracking the second contour is not determined. | 2022-05-26 |
20220164965 | System and method for transforming video data into directional object count - The present invention is a computer-implemented system and method for transforming video data into directional object counts. The method of transforming video data is uniquely efficient in that it uses only a single column or row of pixels in a video camera to define the background from a moving object, count the number of objects and determine their direction. By taking an image of a single column or row every frame and concatenating them together, the result is an image of the object that has passed, referred to herein as a sweep image. In order to determine the direction, two different methods can be used. Method one involves constructing another image using the same method. The two images are then compared, and the direction is determined by the location of the object in the second image compared to the location of the object in the first image. Due to this recording method, elongation or compression of the objects can occur because of acceleration or deceleration of the objects and can be uniquely utilized to determine the speed or movement path of the objects. The second method of determining direction involves comparing the object in the image to an established marker. The transformations can also be used to produce labeled data for training machine learning models: bounding-boxes provided in sweep image can be transformed to bound boxes in video, and boxes in video can be transformed into boxes in the sweep image. | 2022-05-26 |
20220164966 | Eye Method for Tracking Eye Gaze, System, Processing Device and Computer Readable Storage Medium - A method for tracking eye gaze, a system, a processing device and a computer readable storage medium are provided. The method includes: acquiring original images acquired by multiple image acquisition devices, splicing the multiple original images into a spliced image, and determining a responsible region of each image acquisition device in the spliced image; performing preliminary face locating on the spliced image, and determining one or more original images corresponding to a preliminarily located face position according to the preliminarily located face position and the responsible region; and performing secondary face locating on the one or more determined original images to obtain face pose information and a positional relation of pupils with respect to human eyes, and calculating coordinates of gaze points of the human eyes according to the obtained face pose information and the positional relation of the pupils with respect to the human eyes. | 2022-05-26 |
20220164967 | METHOD OF ESTABLISHING AN ENHANCED THREE-DIMENSIONAL MODEL OF INTRACRANIAL ANGIOGRAPHY - A method of establishing an enhanced three-dimensional (3D) model of intracranial angiography is provided and includes: obtaining a bright-blood image group, a black-blood image group and an enhanced black-blood image group; preprocessing image pairs to obtain first bright-blood images and black-blood images; registering the first bright-blood image by taking the first black-blood image as reference to obtain a registered bright-blood image group; eliminating flowing void artifact to obtain an artifact-elimination enhanced black-blood image group; subtracting each image of the artifact-elimination enhanced black-blood image group from corresponding black-blood image to obtain angiography enhanced images; establishing a blood 3D model and a vascular 3D model with blood boundary expansion by using the registered bright-blood image group; establishing an angiography enhanced 3D model by using the angiography enhanced images; obtaining an enhanced 3D model of intracranial angiography based on the blood 3D model, the vascular 3D model and the angiography enhanced 3D model. | 2022-05-26 |
20220164968 | AUTOMATED CORE SCAN ALIGNMENT - A core scan alignment service processes core scans to automatically perform, longitudinal and rotational alignment of core sample images. The alignment service fits ellipses to a core sample represented in an image and fits a line through the center of the ellipses to determine a center axis of the image. The alignment service aligns the determined center axis of the image with center axes of other processed images. The alignment service also rotates the image around the central axis while comparing sub-volumes or portions of the image with an adjacent previously aligned image. The alignment service determines a similarity metric between the neighboring images at several rotational positions. The alignment service then rotates the image to a degree of rotation which yielded the highest similarity metric value. The alignment service can output a three-dimensional model or image of an aligned set of core sample images. | 2022-05-26 |
20220164969 | USING MACHINE LEARNING TO SELECTIVELY OVERLAY IMAGE CONTENT - Modifications are performed to cause a style of an image to match a different style. A first image is accessed, where the first image has the first style. A second image is also accessed, where the second image has a second style. Subsequent to a deep neural network (DNN) learning these styles, a copy of the first image is fed as input to the DNN. The DNN modifies the first image copy by transitioning the first image copy from being of the first style to subsequently being of the second style. As a consequence, a modified style of the transitioned first image copy bilaterally matches the second style. | 2022-05-26 |
20220164970 | HIGH-FRAME-RATE REAL-TIME MULTISCALE SPATIOTEMPORAL DISPARITY ON DISTRIBUTED LOW-POWER EVENT-BASED NEUROMORPHIC HARDWARE - High-framerate real-time spatiotemporal disparity mechanisms on neuromorphic hardware are provided. In various embodiments, a first and second spiking input sensor each output a time series of spikes corresponding to a plurality of frames. A neurosynaptic network is configured to receive the time series of spikes corresponding to the plurality of frames; accumulate the time series of spikes in a ring buffer, thereby creating a plurality of temporal scales; for each corresponding pair of frames from the first and second spiking input sensors, determining a mapping of pixels in one of the pair of frames to pixels in the other of the pair of frames based on similarity; based on the pixel mapping, determining a disparity map. | 2022-05-26 |
20220164971 | METHODS FOR DEPTH SENSING USING CANDIDATE IMAGES SELECTED BASED ON AN EPIPOLAR LINE - A method for depth sensing from an image of a projected pattern is performed at an electronic device with one or more processors and memory. The method includes receiving an image of a projection of an illumination pattern; for a portion of the image, selecting a candidate image of a plurality of candidate images by comparing the portion of the image with a plurality of candidate images; and determining a depth for the portion of the image based on depth information associated with the selected candidate image. Related electronic devices and computer readable storage medium are also disclosed. | 2022-05-26 |
20220164972 | OPTICAL RESOLUTION MEASUREMENT METHOD FOR OPTICAL DEVICES - Embodiments herein provide for a method of determining an optical device modulation transfer function (MTF). The method described herein includes projecting a baseline image of a pattern from a light engine to a detector. The baseline image is analyzed to determine a baseline function. A baseline fast Fourier transform (FFT) or a baseline MTF of the baseline function is obtained. The method further includes projecting an image of the pattern from the light engine to one or more optical devices. The pattern is outcoupled from the one or more optical devices to the detector. The image is analyzed to determine a function. A function FFT or a function MTF is obtained corresponding to the image. An optical device MTF of the one or more optical devices is determined by comparing the baseline FFT and the function FFT determined by analyzing the image or by comparing the baseline MTF and the function MTF determined by analyzing the image. | 2022-05-26 |
20220164973 | NEURAL NETWORK MODEL BASED DEPTH ESTIMATION - A system is provided that stores a neural network model trained on a training dataset which indicates an association between first graphic information associated with one or more first objects and corresponding first plurality of depth images. The system receives second graphic information that corresponds to the one or more first objects. The system further applies the trained neural network model received on the second graphic information. The system predicts a first depth image from the first plurality of depth images based on the application of the trained neural network model on the received second graphic information. The system extracts first depth information from the predicted first depth image. The first depth information corresponds to the one or more first objects indicated by the second graphic information. | 2022-05-26 |
20220164974 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing device includes: an acquisition unit configured to acquire setting information which is set based on a template image and associates an image region with analysis process content; and an image processing unit configured to perform an analysis process corresponding to the analysis process content associated with the image region on an image of a target region corresponding to the image region in an input image. | 2022-05-26 |
20220164975 | SHAPE DETECTION METHOD, SHAPE DETECTION SYSTEM, AND PROGRAM - To easily and quickly detect a predetermined shape on an object. A shape detection method for detecting the shape of an object, the method comprising: a step of acquiring data indicating three-dimensional point group data from the object by a sensor, a step of displaying the three-dimensional point group data in a display area of a terminal, a step of acquiring the display area in which the three-dimensional point group data is displayed, as two-dimensional image data, and a step of performing image analysis on the two-dimensional image data, and detecting a predetermined shape of the object. | 2022-05-26 |
20220164976 | DEVICE, METHOD AND SYSTEM FOR ESTIMATING ELEVATION IN IMAGES FROM CAMERA DEVICES - A device, method and system for estimating elevation in images from camera devices is provided. The device detects humans at respective positions in images from a camera device, the camera device having a fixed orientation and fixed focal length. The device estimates, for the humans in the images, respective elevations of the humans, relative to the camera device, at the respective positions based at least on camera device parameters defining the fixed orientation and the fixed focal length. The device associates the respective elevations with the respective positions in the images. The device determines, using the respective elevations associated with the respective positions, a function that estimates elevation in an image from the camera device, using a respective image position coordinate as an input. The device provides the function to a video analytics engine to determine relative real-world positions in subsequent images from the camera device. | 2022-05-26 |
20220164977 | INFORMATION PROCESSING DEVICE, PROCESSING METHOD, AND RECORDING MEDIUM - An information processing device system according to an aspect of the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire a customer identifier (ID) that identifies a customer at a store; generate action information that represents an action of the customer in the store; and assign points in association with the customer ID based on the action information. | 2022-05-26 |
20220164978 | METHOD FOR LOCATING POSITION OF OBSTACLES, AND APPARATUS, AND SYSTEM APPLYING METHOD - For the benefit of pedestrians, a method for identifying and locating positions of obstacles moving on a pedestrian sidewalk acquires an image of the sidewalk and processes the image to divide it. The divided image comprises classifications of objects in the image on a pixel by pixel basis. The classifying of objects in the divided image comprises the sidewalk classification, and classification of the obstacles appears in the image. Pixels surrounding the obstacles are acquired in terms of number and classifications. Positions of the obstacles are determined based on a preset threshold, the classifications of adjacent pixels of the obstacles, and the pixel number of the adjacent pixel in each object classification. An apparatus and a system applying the method are also disclosed. | 2022-05-26 |
20220164979 | TRANSPARENT DISPLAY SYSTEM, CONTROL METHOD AND CONTROL DEVICE THEREOF - A transparent display system, a control method and a control device thereof are provided. The transparent display system includes an information capturing assembly, a transparent display and a control device. The information capturing assembly is used to obtain at least one detection content. The control device includes a detection unit, a resource allocation unit and a recognition unit. The detection unit is used for detecting at least one user in front of a transparent display and at least one target object behind the transparent display according to the detection content. The resource allocation unit is used to obtain a resource allocation according to a detection result of the detection content. The information capturing assembly obtains at least one recognition content. The recognition unit obtains at least one front side position of the user and at least one back side position of the target object according to the resource allocation. | 2022-05-26 |
20220164980 | DETERMINING ROAD LOCATION OF A TARGET VEHICLE BASED ON TRACKED TRAJECTORY - A system for navigating a host vehicle may include a at least one processing device. The at least one processing device may be programmed to receive, from an image capture device, at least one image representative of an environment of the host vehicle. The at least one processing device may also be programmed to analyze the at least one image to identify an object in the environment of the host vehicle. The at least one processing device may also be programmed to determine a location of the host vehicle. The at least one processing device may also be programmed to receive map information associated with the determined location of the host vehicle, wherein the map information includes elevation information associated with the environment of the host vehicle. The at least one processing device may also be programmed to determine a distance from the host vehicle to the object based on at least the elevation information. The at least one processing device may further be programmed to determine a navigational action for the host vehicle based on the determined distance. | 2022-05-26 |
20220164981 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM - An information processing device including a control unit that controls a display terminal that arranges a virtual object in a real space by using a coordinate system associated with the real space, in which the control unit determines whether to update first spatial information of a first display terminal and second spatial information of a second display terminal, which are used for determining a position of the virtual object, based on a first operation state of the first display terminal and a second operation state of the second display terminal that shares the virtual object with the first display terminal. | 2022-05-26 |
20220164982 | LOCALIZATION AND MAPPING METHOD AND MOVING APPARATUS - A localization and mapping method is for localizing and mapping a moving apparatus in a moving process. The localization and mapping method includes an image capturing step, a feature point extracting step, a flag object identifying step, and a localizing and mapping step. The image capturing step includes capturing an image frame at a time point of a plurality of time points in the moving process by a camera unit. The flag object identifying step includes identifying whether the image frame includes a flag object among a plurality of the feature points in accordance with a flag database. The flag database includes a plurality of dynamic objects, and the flag object is corresponding to one of the dynamic objects. The localizing and mapping step includes performing localization and mapping in accordance with the image frames captured and the flag object thereof in the moving process. | 2022-05-26 |
20220164983 | METHOD FOR DETERMINING A SOLAR MASK FOR AN INSTALLATION AND METHOD FOR CHECKING THE COMPATIBILITY OF A MOTORIZED DRIVE DEVICE - Disclosed is a method for determining a solar mask for a facility that comprises a step (E | 2022-05-26 |
20220164984 | PANORAMIC IMAGE BASED JUMP POSITION DETERMINATION METHOD AND APPARATUS AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - Disclosed are a panoramic image based jump position determination method and apparatus. The method includes steps of obtaining first and second original panoramic images having the same horizontal width; performing, based on posture data of cameras respectively shooting the two original panoramic images, an adjustment process on at least one of the two original panoramic images, so as to acquire first and second panoramic images; after the adjustment process, conducting a feature extraction process regarding the two panoramic images, and choosing, based on a result of the feature extraction process, a plurality of pairs of image columns on the two panoramic images, so as to select at least one pair of first image columns from among the plurality of pairs of image columns; and determining, based on the at least one pair of first image columns, jump positions on the first and second panoramic images for jumping between the two. | 2022-05-26 |
20220164985 | SYSTEMS AND METHODS FOR AIDING A VISUAL POSITIONING SYSTEM WITH INDOOR WAYFINDING - A device may receive images identifying interiors of buildings and movable objects and unmovable objects located in the interiors, and may train a machine learning model with the images to generate a trained machine learning model. The device may receive an image identifying an interior portion of a building and objects located in the interior portion, and may process the image, with the trained machine learning model, to identify a movable object and an unmovable object. The device may disregard the movable object to generate an image in which data identifying the movable object has been disregarded, and may process the image in which the data identifying the movable object has been disregarded, with a visual positioning system, to determine a location of the user device in the interior portion of the building. The device may perform one or more actions based on the location of the user device. | 2022-05-26 |
20220164986 | ROTATION EQUIVARIANT ORIENTATION ESTIMATION FOR OMNIDIRECTIONAL LOCALIZATION - A computer implemented method for pose estimation of an image sensor, the method comprising:
| 2022-05-26 |
20220164987 | Extrinsic Camera Parameter Calibration Method, Extrinsic Camera Parameter Calibration Apparatus, and Extrinsic Camera Parameter Calibration System - Disclosed are an extrinsic camera parameter calibration method, apparatus and system. The method includes: obtaining a calibration image photographed for a target location in a calibration cabin by a first camera provided therein; determining calibration feature information of the target location from the calibration image; obtaining reference feature information pre-determined from a reference image photographed for a target location in a reference cabin by a second camera provided therein; determining position-posture change data of the first relative to the second camera based on a calibration location of the calibration feature information in the calibration image and a reference location of the reference feature information in the reference image; and determining an extrinsic parameter of the first camera based on the position-posture change data. The extrinsic parameter of the first camera can be calibrated in real time and is closer to a currently actual state of the first camera when used. | 2022-05-26 |
20220164988 | Methods and Systems for Calibrating Surface Data Capture Devices - An illustrative scene capture system determines a set of two-dimensional (2D) feature pairs each representing a respective correspondence between particular features depicted in both a first intensity image from a first vantage point and a second intensity image from a second vantage point. Based on the set of 2D feature pairs, the system determines a set of candidate three-dimensional (3D) feature pairs for a first depth image from the first vantage point and a second depth image from the second vantage point. The system selects a subset of selected 3D feature pairs from the set of candidate 3D feature pairs in a manner configured to minimize an error associated with a transformation between the first depth image and the second depth image. Based on the subset of selected 3D feature pairs, the system manages calibration parameters for surface data capture devices that captured the intensity and depth images. | 2022-05-26 |
20220164989 | RIPENESS DETECTION SYSTEM USING HUE COLOR SPACE AND PEAK FINDING - A method for estimating ripeness of produce includes illuminating the produce with light, measuring intensities of the light reflected from the produce at different frequencies, and determining a degree of ripeness of the produce from the relative intensities of the light reflected from the produce at the different frequencies. | 2022-05-26 |
20220164990 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NONTRANSITORY COMPUTER READABLE MEDIUM STORING PROGRAM - The present disclosure provides an image processing apparatus capable of efficiently generating a learning model having a high accuracy. An image processing apparatus ( | 2022-05-26 |
20220164991 | IMAGE PROCESSING METHOD AND APPARATUS, STORAGE MEDIUM, AND ELECTRONIC DEVICE - A method includes obtaining a first image to be rendered, obtaining a target mask image corresponding to the first image where a g component of the target mask image stores first light change data and a b component of the target mask image stores second light change data, the first light change data being change data of light on a left side of the first image used when the first image is rendered and the second light change data being change data of light on a right side of the first image used when the first image is rendered, and rendering the first image by using the target mask image to obtain a second image. | 2022-05-26 |
20220164992 | PROCESSING A POINT CLOUD - At least one embodiment relates to a method for signaling a syntax element representing a Point Local Reconstruction mode, said Point Local Reconstruction mode being representative of at least one parameter defining a mode for reconstructing at least one point of a point cloud frame. | 2022-05-26 |
20220164993 | PROCESSING MISSING POINTS OF A POINT CLOUD - At least one embodiment relates to a method assigning a pixel value of an occupancx map either indicates tliat a depth value of at least one 3D sample of a point cloud frame projected along a same projection line is stored as a pixel value of at least one layer or equals a fixed-length codeword representing a depth value of at least one 3D sample projection along said projection line. | 2022-05-26 |
20220164994 | OVERLAPPED PATCHES FOR MESH CODING FOR VIDEO BASED POINT CLOUD COMPRESSION - An encoding device, a decoding device, and a method for mesh decoding are disclosed. The method for mesh decoding includes receiving a bitstream. The method also includes decoding a frame that includes pixels from the bitstream. A portion of the pixels of the frame represent geometric locations of vertices of a 3D mesh that are organized into overlapped patches The method further includes decoding connectivity information from the bitstream. Additionally, the method includes identifying triangles associated with the overlapped patches The triangles represented in an overlapped patch of the overlapped patches are allocated to a projection direction based on a normal vector associated with each of the triangles of the overlapped patch. The method also includes reconstructing the 3D mesh based on the connectivity information and the overlapped patches. | 2022-05-26 |
20220164995 | A METHOD, AN APPARATUS AND A COMPUTER PROGRAM PRODUCT FOR VIDEO ENCODING AND VIDEO DECODING - The embodiments relate to a method comprising compressing input data (I) by means of at least a neural network (E, | 2022-05-26 |
20220164996 | SYSTEM AND METHOD FOR VISUALIZING PLACEMENT OF A MEDICAL TUBE OR LINE - An image processing system is provided. The image processing system includes a display, a processor, and a memory. The memory stores processor-executable code that when executed by the processor causes receiving an image of a region of interest of a patient with a medical tube or line disposed within the region of interest, detecting the medical tube or line within the image, generating a combined image by superimposing a first graphical marker on the image that indicates an end of the medical tube or line, and displaying the combined image on the display. | 2022-05-26 |
20220164997 | SYSTEMS AND METHODS FOR DYNAMICALLY ESTIMATING REAL TIME SIGNAL STRENGTHS FOR A WIRELESS ROUTER USING AUGMENTED REALITY - A user device may receive an image of an area receiving signals from a wireless router; determine a received signal strength indicator (RSSI) based on a signal from the wireless router; determine an initial virtual point in the image; calculate geographical coordinates of the initial virtual point; calculate a signal strength of the wireless router at the geographical coordinates and based on the RSSI; provide for display an augmented reality indication of the signal strength in the image and at the initial virtual point; receive inputs indicating movements of the initial virtual point to new virtual points in the image; calculate new geographical coordinates of the new virtual points; calculate new signal strengths of the wireless router at the new geographical coordinates and based on the RSSI; and provide for display augmented reality indications of the new signal strengths in the image and at the new virtual points. | 2022-05-26 |
20220164998 | AUGMENTED REALITY USING INTRA-OCULAR DEVICES - In a system for providing augmented reality to a person disposed in a real-world, physical environment, a camera is configured to capture multiple real-world images of a physical environment. The system includes a processor configured to use the real-world images to generate multiple images of a virtual object that correspond to the multiple real-world images. The system further includes a display configured to display to the person in real time, a succession of the generated images that correspond to then-current multiple real-world images, such that the person perceives the virtual object to be positioned within the physical environment. | 2022-05-26 |
20220164999 | ORTHOPHOTO MAP GENERATION METHOD BASED ON PANORAMIC MAP - Disclosed is an orthophoto map generation method based on a panoramic map, the method comprising: overlapping and fusing a panoramic map and panoramic field depth data when the panoramic map is photographed, such that each pixel of the panoramic map has a corresponding field depth value; acquiring a pitch angle and azimuth angle of a reference pixel relative to a photographing device, and in conjunction with a 360 degree feature of a panorama, calculating an azimuth angle and pitch angle, relative to a camera, of an object represented by each pixel; in conjunction with calculation results and geographic coordinates, determined by a positioning device when the panoramic map is photographed, of the camera, calculating a geographic position corresponding to the object represented by each pixel to form point cloud data. | 2022-05-26 |
20220165000 | SYSTEM AND METHOD FOR CARBON DIOXIDE ANGIOGRAPHIC ROADMAP IMAGING - The present disclosure relates to systems and methods for visualizing a guidewire in a roadmap image. In accordance with certain embodiments, a method includes generating a background mask as a function of at least one background image, wherein the at least one background image includes a blood vessel of interest, generating a contrast mask as a function of at least one contrast image, wherein the at least one contrast image includes a contrast within the blood vessel of interest, receiving a guidewire image, wherein the guidewire image includes a guidewire within the blood vessel of interest, generating a roadmap image as a function of the background mask, contrast mask, and guidewire image, wherein the roadmap image includes the blood vessel of interest, and the guidewire, and outputting the roadmap image to a display. | 2022-05-26 |
20220165001 | ACCELERATED FILTERED BACK PROJECTION FOR COMPUTED TOMOGRAPHY IMAGE RECONSTRUCTION - Accelerated filtered back projection for computed tomography image reconstruction. In an embodiment, a filtered back projection is performed on a sinogram. The back projection may comprise transitioning the sinogram to a linogram using linear interpolation, and performing an inverse Fast Hough Transform on the linogram to produce a reconstructed CT image. Filtering in the filtered back projection may use an infinite impulse response (IIR) filter. | 2022-05-26 |
20220165002 | ITERATIVE HIERARCHAL NETWORK FOR REGULATING MEDICAL IMAGE RECONSTRUCTION - For reconstruction in medical imaging, such as reconstruction in MR imaging, an iterative, hierarchal network for regularization may decrease computational complexity. The machine-learned network of the regularizer is unrolled or made iterative. For each iteration, nested U-blocks form a hierarchy so that some of the down-sampling and up-sampling of some U-blocks begin and end with lower resolution data or features, reducing computational complexity. | 2022-05-26 |