26th week of 2021 patent applcation highlights part 57 |
Patent application number | Title | Published |
20210201434 | APPARATUS AND METHOD FOR MULTI-ADAPTER ENCODING - An apparatus and method for multi-adapter and/or multi-pass encoding on dual graphics processors. For example, one embodiment of a processor comprises: a central processor integrated on a first die, the central processor comprising a plurality of cores to execute instructions and process data; an first graphics processor integrated on the first die, the first graphics processor comprising media processing circuitry to perform one or more preliminary lookahead operations on video content to generate lookahead statistics; an interconnect to couple the first graphics processor to a lookahead buffer, the first graphics processor to transmit the lookahead statistics over the interconnect to the lookahead buffer; wherein the lookahead statistics are to be used by a second graphics processor to encode the video content to generate encoded video | 2021-07-01 |
20210201435 | Application And Integration Of A GPU Server System - A graphics processing unit (GPU) server having a GPU host head with one or more host graphics processing units (GPUs). The GPU server further has a GPU system with a plurality of system GPUs that are separate from the host GPUs, and that are configured to rapidly accelerate creation of images for output to a display device. The GPU server also has a mounting assembly that integrates the GPU host head and the GPU system into a single GPU server unit. The GPU host head is independently movable relative to the GPU system. | 2021-07-01 |
20210201436 | METHOD AND APPARATUS FOR COMPRESSION OF GRAPHICS PROCESSING COMMANDS - Embodiments are generally directed to methods and apparatuses for compression of graphics processing commands. An embodiment of a method for data processing comprising: capturing a first graphics processing command including vertex data; constructing a data array having a plurality of data vectors from the vertex data; determining whether the data array is of a specific data type; in response to the data array being of the specific data type, determining whether a semantic property of the data array is color; and in response to the semantic property being color, determining a plurality of representative data vectors that are different from each other in the plurality of data vectors; constructing a palette array having a plurality of palette vectors each containing data elements of a corresponding one of the plurality of representative data vectors and a palette vector identifier; and generating a modified first graphics processing command by replacing the data array with the palette array and a sequence of palette vector identifiers. | 2021-07-01 |
20210201437 | MULTI-DIMENSIONAL 3D ENGINE COMPUTING AND VIRTUALIZATION-BASED DYNAMIC LOAD BALANCING OF VIRTUAL OR REAL WORLDS - A system enabling a distributed | 2021-07-01 |
20210201438 | COORDINATION AND INCREASED UTILIZATION OF GRAPHICS PROCESSORS DURING INFERENCE - A mechanism is described for facilitating inference coordination and processing utilization for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, at training time, information relating to one or more tasks to be performed according to a training dataset relating to a processor including a graphics processor. The method may further include analyzing the information to determine one or more portions of hardware relating to the processor capable of supporting the one or more tasks, and configuring the hardware to pre-select the one or more portions to perform the one or more tasks, while other portions of the hardware remain available for other tasks. | 2021-07-01 |
20210201439 | LOW POWER AND LOW LATENCY GPU COPROCESSOR FOR PERSISTENT COMPUTING - Systems, apparatuses, and methods for implementing a graphics processing unit (GPU) coprocessor are disclosed. The GPU coprocessor includes a SIMD unit with the ability to self-schedule sub-wave procedures based on input data flow events. A host processor sends messages targeting the GPU coprocessor to a queue. In response to detecting a first message in the queue, the GPU coprocessor schedules a first sub-task for execution. The GPU coprocessor includes an inter-lane crossbar and intra-lane biased indexing mechanism for a vector general purpose register (VGPR) file. The VGPR file is split into two files. The first VGPR file is a larger register file with one read port and one write port. The second VGPR file is a smaller register file with multiple read ports and one write port. The second VGPR introduces the ability to co-issue more than one instruction per clock cycle. | 2021-07-01 |
20210201440 | GEOMETRIC TRANSFORMATION MATRIX ESTIMATING DEVICE, GEOMETRIC TRANSFORMATION MATRIX ESTIMATING METHOD, AND PROGRAM - An object is to make it possible to precisely infer a geometric transformation matrix for transformation between an image and a reference image representing a plane region even if correspondence to the reference image cannot be obtained. A first line segment group extraction unit | 2021-07-01 |
20210201441 | METHOD, APPARATUS, DEVICE AND STORAGE MEDIUM FOR TRANSFORMING HAIRSTYLE - A method, apparatus, device, and storage medium for transforming a hairstyle are provided. The method may include: determining a face bounding box according to information on face key points of acquired face image; constructing grids according to the face bounding box; deforming, by using an acquired target hairstyle function, edge lines of at least a part of the constructed grids, which comprises the hairstyle, to obtain a deformed grid curve; determining a deformed hairstyle in the face image according to the deformed grid curve. | 2021-07-01 |
20210201442 | Display System, Electronic Apparatus, Mobile Body, And Display Method - A display system ( | 2021-07-01 |
20210201443 | DISPLAY APPARATUS CAPABLE OF LATERALLY SHIFTING IMAGE - Provided is a display apparatus including an image forming optical system configured to form an image to be displayed, an eyepiece optical system configured to provide the image formed by the image forming optical system to a pupil of an observer, and an image shifting optical system disposed on an optical path between the image forming optical system and the eyepiece optical system, the image shifting optical system being configured to shift the image formed by the image forming optical system in a direction perpendicular to an optical axis, wherein the image shifting optical system includes a first optical member having a first focal length and a second optical member having a second focal length, and wherein a distance between the first optical member and the second optical member along the optical axis is equal to a sum of the first focal length and the second focal length. | 2021-07-01 |
20210201444 | DEVICES AND METHODS FOR SPECKLE MOTION ARTIFACT DETECTION AND COMPENSATION IN MEDICAL IMAGING - A device for providing reference information in laser speckle medical imaging of tissue of a subject can include a support that includes a marker for image recognition and a speckle target region that is nontransparent to light in a first illumination wavelength range and that generates a speckle pattern when illuminated with light in the first wavelength range. The support can be configured to be attachable to tissue of the subject. | 2021-07-01 |
20210201445 | IMAGE CROPPING METHOD - Disclosed is an image cropping method, which relate to the technical field of computers. An implementation of the method includes: generating a cropping frame according to a size of a to-be-cropped image and a target size; selecting image blocks from the to-be-cropped image by using the cropping frame; and evaluating the selected image blocks by using a composition quality evaluation model, and taking the image block with the highest evaluation score as a target image obtained by cropping. | 2021-07-01 |
20210201446 | FOVEATED IMAGE RENDERING FOR HEAD-MOUNTED DISPLAY DEVICES - Examples disclosed herein obtain first image data and the second image data for a foveated image frame to be displayed on a display, the first image data to have a first resolution and the second image data to have a second resolution lower than the first resolution. Disclosed examples also up-sample the second image data based on first metadata to generate up-sampled second image data, the up-sampled second image data to have the first resolution, and combine the first image data and the up-sampled second image data based on second metadata. Disclosed examples further perform, based on third metadata, a combination of at least two different filter operations on an overlap region including a portion of the first image data and a portion of the up-sampled second image data to generate the foveated image frame, the third metadata to specify a width in pixels of the overlap region. | 2021-07-01 |
20210201447 | METHOD AND APPARATUS WITH QUANTIZED IMAGE GENERATION - A system includes: an image sensor configured to acquire an image; an image processor configured to generate a quantized image based on the acquired image using a trained quantization filter; and an output interface configured to output the quantized image. | 2021-07-01 |
20210201448 | IMAGE FILLING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM - An image filling method and apparatus, a device and a storage medium are disclosed. The image filling method includes: performing multilevel encoding processing on features of an image to be filled to generate multilevel encoded feature layers, sizes of the multilevel encoded feature layers being reduced layer by layer; performing layer-by-layer decoding processing on the multilevel encoded feature layers to obtain multilevel decoded feature layers and a first image, there being no missing region in the first image, wherein the layer-by-layer decoding processing includes a concatenation operation on a decoded feature layer and an encoded feature layer with a same size; and performing up-sampling processing on the first image to obtain multilevel up-sampled feature layers and a second image optimized by the up-sampling processing, the up-sampling processing including a concatenation operation on an up-sampled feature layer and a decoded feature layer with a same size. | 2021-07-01 |
20210201449 | METHOD FOR DETERMINING MOIRE PATTERN, METHOD FOR SUPPRESSING MOIRE PATTERN AND CIRCUIT SYSTEM THEREOF - A method for determining and suppressing Moiré pattern, and a circuit system thereof are provided. In the method, a brightness value of pixels of an image can be obtained. For each of the pixels of the image, a detection window is provided for calculating a Moiré pattern response value of a plurality of critical pixels and corresponding adjacent pixels. The critical pixels within the detection window are selected for determining a type of Moiré pattern. After, it is to compare the brightness values of the critical pixels and the corresponding adjacent pixels within the detection window. The comparison results can be used to determine the brightness characteristics of the pixels through a statistical method. Moiré pattern response value and the statistics are used to determine type and position of the Moiré pattern. A color noise suppression process is performed on the pixels to be determined as Moiré pattern. | 2021-07-01 |
20210201450 | INFORMATION PROCESSING APPARATUS, METHOD FOR PROCESSING INFORMATION, AND PROGRAM - A polarization imaging unit | 2021-07-01 |
20210201451 | SYSTEM AND METHOD FOR IMAGE PROCESSING - A system and method for image processing are provided. A pre-processed image may be obtained. The pre-processed image may be decomposed into a low-frequency image and a high-frequency image. At least one grayscale transformation range may be determined based on the low-frequency image. At least one grayscale transformation parameter may be determined based on the at least one grayscale transformation range. The low-frequency image may be transformed based on the at least one grayscale transformation parameter to obtain a transformed low-frequency image. A transformed image may be generated by reconstructing the transformed low-frequency image and the high-frequency image. | 2021-07-01 |
20210201452 | IMAGE DEHAZING AND RESTORATION - Methods for dehazing a digital image and for restoring an underwater digital image. The methods include the following steps: First, clustering pixels of a digital image into haze-lines, wherein each of the haze-lines is comprised of a sub-group of the pixels that are scattered non-locally over the digital image. Second, estimating, based on the haze-lines, a transmission map of the digital image, wherein the transmission map encodes scene depth information for each pixel of the digital image. Then, for a hazy image, calculating a dehazed digital image based on the transmission map. | 2021-07-01 |
20210201453 | METHOD FOR MASKING AN IMAGE OF AN IMAGE SEQUENCE WITH A MASK, COMPUTER PROGRAM, MACHINE-READABLE STORAGE MEDIUM AND ELECTRONIC CONTROL UNIT - The invention relates to a method for masking an image ( | 2021-07-01 |
20210201454 | SYSTEM AND METHOD OF USING OPTIMIZED DESCRIPTOR CODING FOR GEOMETRIC CORRECTION TO REDUCE MEMORY TRANSFER BANDWIDTH OVERHEAD - A geometric correction system and method for performing geometric correction of a distorted image in an input frame to provide a corrected image in an output frame including a local memory, geometric correction circuitry, a tile reader, and a descriptor memory storing multiple tile descriptors. The tile reader retrieves distorted tile data from the input frame into the local memory for one corrected tile group at a time according to a corresponding tile descriptor. Each tile descriptor identifies distorted tile data to retrieve and distorted tile data to skip from the local memory for the corresponding corrected tile group. The tile descriptor includes a descriptor for each row of local memory area identifying data to be read and data to be skipped for each row. Only the data needed for one or more target tiles is read to reduce memory transfer bandwidth overhead. | 2021-07-01 |
20210201455 | ELECTRONIC DEVICE FOR VIDEO EDITING WITH DYNAMIC TONE METADATA AND OPERATION METHOD THEREOF - An apparatus and method for editing an image including dynamic tone metadata in an electronic device are provided. The electronic device includes a display, and at least one processor operatively connected to the display, wherein the at least one processor may be configured to generate a third image to be inserted between a first image and a second image continuous with the first image among a plurality of images belonging to video content, generate dynamic tone metadata of the third image based on dynamic tone metadata of the first image and the second image, and update the video content by adding the third image and the dynamic tone metadata of the third image. | 2021-07-01 |
20210201456 | IMAGE PROCESSING METHOD AND ELECTRONIC DEVICE - An image processing method and an electronic device are provided, the method extracts a first object mask of a texture image and a second object mask of a to-be-optimized image. An image recognition model is used to obtain a first content matrix, a first texture matrix, a second content matrix, a second texture matrix, a first mask matrix, and a second mask matrix. A total loss of the to-be-optimized image is determined, and the total loss is minimized by adjusting a value of each pixel of the to-be-optimized image, thereby an optimized image is obtained. By utilizing the image processing method, quality of final image is improved. | 2021-07-01 |
20210201457 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - Disclosed is an image processing apparatus that generate a plurality of reduced images with different reduction rates from an input image, applies predetermined processing to the reduced images, enlarges the reduced images into their respective original resolutions, and then composes the enlarged images into a composite image. The apparatus applies processing to the input image based on the composite image. The apparatus, depending on a setting, applies the processing to an input image based on the composite image generated from a previous input image. | 2021-07-01 |
20210201458 | FACE IMAGE PROCESSING METHOD AND APPARATUS, IMAGE DEVICE, AND STORAGE MEDIUM - Provided are a face image processing method and apparatus, an image device, and a storage medium. The face image processing method includes: acquiring first-key-point information of a first face image; performing position transformation on the first-key-point information to obtain second-key-point information conforming to a second facial geometric attribute, the second facial geometric attribute being different from a first facial geometric attribute corresponding to the first-key-point information; and performing facial texture coding processing by utilizing a neural network and the second-key-point information to obtain a second face image. | 2021-07-01 |
20210201459 | System and Method for Detecting Abnormal Particles - The present disclosure provides a system and method for detecting abnormal particles. The system includes a tray used to hold and display multiple particles, a manipulating device used to manipulate the tray and the particles thereon, an imaging element capable of capturing an image of the tray, and an image processor capable of determining the quantity, shape, and size of particles on the tray as displayed by the images captured by the imaging element and analyzing the images. The image processor comprises an image data processor, a memory, and an output command processor. | 2021-07-01 |
20210201460 | APPARATUSES AND METHODS FOR DETERMINING WAFER DEFECTS - An inspection system for determining wafer defects in semiconductor fabrication may include an image capturing device to capture a wafer image and a classification convolutional neural network (CNN) to determine a classification from a plurality of classes for the captured image. Each of the plurality of classes indicates a type of a defect in the wafer. The system may also include an encoder to encode to convert a training image into a feature vector; a cluster system to cluster the feature vector to generate soft labels for the training image; and a decoder to decode the feature vector into a re-generated image. The system may also include a classification system to determine a classification from the plurality of classes for the training image. The encoder and decoder may he formed from a CNN autoencoder. The classification CNN and the CNN autoencoder may each be a deep neural network. | 2021-07-01 |
20210201461 | SYSTEM AND METHOD FOR PROCESSING MULTIPLE LOOSE GEMSTONES USING IMAGE-BASED ANALYSIS TECHNIQUES - Systems and methods for processing a plurality of loose gemstones resting on a worksurface are disclosed. The system comprises an image capturing device for capturing an image of the plurality of loose gemstones on the worksurface. The system further comprises a computing device having a non-transitory computer-readable storage medium and a processor. Additionally, the processor is configured by executing a software application to analyze the image to detect edges of objects within the image and generate a diagram representing the detected edges of the gemstones. The processor is further configured to detect, using a trained neural network processing the image and the diagram, individual gemstones within the image and count the individual gemstones detected within the image to determine a gemstone count. The processor is also configured to perform, using an output device, a processing operation on the gemstones as a function of the gemstone count. | 2021-07-01 |
20210201462 | METHOD FOR PREDICTING DEFECTS IN ASSEMBLY UNITS - One variation of a method for predicting manufacturing defects includes: accessing a first set of inspection images of a first set of assembly units recorded by an optical inspection station over a first period of time; generating a first set of vectors representing features extracted from the first set of inspection images; grouping neighboring vectors in a multi-dimensional feature space into a set of vector groups; accessing a second inspection image of a second assembly recorded by the optical inspection station at a second time succeeding the first period of time; detecting a second set of features in the second inspection image; generating a second vector representing the second set of features in the multi-dimensional feature space; and, in response to the second vector deviating from the set of vector groups by more than a threshold difference, flagging the second assembly unit. | 2021-07-01 |
20210201463 | POLARIZER ATTACHMENT DETECTION METHOD AND DEVICE, AND DISPLAY DEVICE - Disclosed are a polarizer attachment detection method and device, and a display device. The polarizer attachment detection method includes: controlling an image collection device to collect image data after attachment of a polarizer in a current detection mode; in response to the image data in the current detection mode failing to match prestored standard image data, switching to a next detection mode, controlling the image collection device to collect image data after the attachment of the polarizer in the next detection mode, and marking the image data collected in the next detection mode as new image data; in response to the new image data matching the prestored standard image data, outputting result information that the attachment is correct; and in response to the new image data failing to match the prestored standard image data, outputting result information that the attachment is incorrect. | 2021-07-01 |
20210201464 | SENSOR DEGRADATION DETECTION AND REMEDIATION - A sensor degradation detection and remediation system includes one or more sensors configured to collect image data from an environment. A combination of techniques may be used to detect degradations within regions of the image data captured by a sensor, including one or more of determining a level of the visual consistency between the associated image regions captured by different sensors, determining a level of opaqueness of the image regions, and/or measuring temporal movement of the image regions captured by a sensor over a period of time. Operations of a vehicle or other system may be controlled based at least in part on the detection of degradations of the image data captured by the sensors, including automated cleaning of a sensor surface, reducing a level of reliance on the image data received from the sensor, and/or changing a direction of travel of the vehicle. | 2021-07-01 |
20210201465 | PROCESSING MAP DATA FOR HUMAN QUALITY CHECK - The present invention relates to the curation of map data. More particularly, the present invention relates to a method for preparing map data to present to a data curator for substantially optimal quality assurance. Further, the present invention relates to a tool for a data curator to verify map data. | 2021-07-01 |
20210201466 | APPARATUS AND METHOD FOR EVALUATING THE QUALITY OF A 3D POINT CLOUD - The present disclosure provides an apparatus and method for evaluate the quality of a three dimensional (3D) point cloud. The apparatus comprises an image segmenter to generate a segmented two-dimensional (2D) image for each of the plurality of images; a 2D mask generator to generate a 2D mask for each of the plurality of images from the 3D point cloud; a comparator to compare the segmented 2D image with the 2D mask to obtain a comparison result for each image; and an evaluator to evaluate the quality of the 3D point cloud based on aggregated comparison results for the plurality of images. | 2021-07-01 |
20210201467 | Vibrator Unit, Conveying System, And Conveying Method - A vibrator unit comprises a vibrating plate having a first surface on which a target object is arranged and a second surface on a side opposite to the first surface, a base arranged with a certain interval from the vibrating plate, a speaker having a vibrating portion opposed to the second surface and a frame connected to the base, and a transfer member transferring vibration of the speaker to the vibrating plate. | 2021-07-01 |
20210201468 | SYSTEM AND METHOD FOR PHOTO-BASED ESTIMATION WITH FRAUD PREVENTION - A server comprises a communications module; a processor coupled to the communications module; and a memory coupled to the processor, the memory storing processor-executable instructions which, when executed by the processor, configure the processor to receive, via the communications module and from a remote computing device, a signal representing an indication of at least one damage location of a vehicle; generate instructions by concatenating one or more instruction sets instructing a user of the remote computing device how to obtain video data of the vehicle based on the at least one damage location and an instruction set instructing the user of the remote computing device how to obtain the video data of the vehicle to capture an identifier of the vehicle in a random order; and send, via the communications module and to the remote computing device, a signal causing the instructions to be displayed on a display of the remote computing device. | 2021-07-01 |
20210201469 | SYSTEM AND METHOD FOR QUANTITATIVE IMAGE QUALITY ASSESSMENT FOR PHOTOGRAMMETRY - A system and method for quantitative image quality assessment for photogrammetry are disclosed. An example embodiment is configured to receive one or more quality assessment images via an image receiver; process the quality assessment images to determine if a quality of the surface texture features of an object or environment depicted in the quality assessment images satisfies a pre-determined quality threshold, the pre-determined quality threshold corresponding to a likelihood of a satisfactory result if images of the object or environment are used for photogrammetry; generate an image quality map indicating image quality values corresponding to regions of the surface of the object or environment that have satisfactory or unsatisfactory texture features for photogrammetry; and generate instructions or prompts for a user, the instructions or prompts directing the user to perform actions with respect to the object or environment that will effect improvements of the texture features for satisfactory photogrammetry. | 2021-07-01 |
20210201470 | INDUSTRIAL PLANT DATA REPRODUCTION DEVICE - An industrial plant data reproduction device includes the following. A process data collection unit collects process data regarding a group of devices and materials to be processed by the group of devices. A video data collection unit collects video data in which an object whose image is to be obtained is captured, the object pertaining to the group of devices. A graphic data storage unit stores in advance graphic data indicative of a motion target position of the object whose image is to be obtained for each material specification. A graphic data selection unit selects the graphic data corresponding to the material specifications included in the process data every time each of the materials reaches the object whose image is to be obtained. A display processing unit outputs synthetic data in which the selected graphic data is overlaid on the video data. | 2021-07-01 |
20210201471 | IMAGE-DATA-BASED CLASSIFICATION OF VACUUM SEAL PACKAGES - Vacuum seal packages can be classified based on image data. Training image data is received that includes image data about first vacuum seal packages. Labels associated with the first vacuum seal packages are received, where each of the labels includes a state of one of the first vacuum seal packages. A trained classification model is developed based on the training image data and the received labels. Image data representative of a second vacuum seal package is received. The image data is inputted into the trained classification model, where the trained classification model is configured to classify a state of the second vacuum seal package based on the image data. The state of the second vacuum seal package is received from the trained classification model. | 2021-07-01 |
20210201472 | METHOD OF INSPECTING AND EVALUATING COATING STATE OF STEEL STRUCTURE AND SYSTEM THEREFOR - Disclosed are a method of inspecting and evaluating a coating state of a steel structure, and a system therefor. A plurality of vision images and thermal images are acquired. While acquiring the thermal images, a desired region is heated. After the thermal images and the vision images in a dynamic state are reconstructed into a time-spatial-integrated thermal image and a time-spatial-integrated vision image in a static state, respectively, an overlay image is generated by overlaying the two images. A deterioration region of a coating is detected, and coating deterioration is classified by characteristics. A size of the coating deterioration region is quantified. A thickness of the coating is inspected by analyzing thermal energy measured from the time-spatial-integrated thermal image. A coating grade is calculated by comprehensively evaluating a coating deterioration inspection result and a coating thickness inspection result. A state evaluation report for the steel structure is automatically created. | 2021-07-01 |
20210201473 | SYSTEM AND METHOD FOR MEASUREMENT OF INFLATION PRESSURE AND LOAD OF TIRES FROM THREE-DIMENSIONAL (3D) GEOMETRY MEASUREMENTS - A system and method for measurement of inflation pressure and load of tires from three-dimensional (3D) geometry measurements are disclosed. An example embodiment is configured to receive a unique tire signature of a vehicle tire under analysis from a perception capture system; match the received unique signature of the vehicle tire under analysis with one or more baseline tire signature elements of a baseline tire signature database; associate an inflation pressure and compressive tire load of the one or more matching baseline tire signature elements with the vehicle tire under analysis; compare the inflation pressure and compressive tire load associated with the vehicle tire under analysis with data indicative of safe operating ranges for the vehicle tire under analysis in relevant environmental conditions; and automatically send a user notification to alert a user to a detection of an unsafe tire condition if the inflation pressure or compressive tire load associated with the vehicle tire under analysis is outside of a safe operating range for the vehicle tire under analysis. | 2021-07-01 |
20210201474 | SYSTEM AND METHOD FOR PERFORMING VISUAL INSPECTION USING SYNTHETICALLY GENERATED IMAGES - A system and method for performing visual inspection using synthetically generated images is disclosed. An example embodiment is configured to: receive one or more images of a compliant manufactured component; receive images of component defects; use the images of component defects to produce a variety of different synthetically-generated images of defects; combine the synthetically-generated images of defects with the one or more images of the compliant manufactured component to produce synthetically-generated images of a non-compliant manufactured component; and collect the one or more images of the compliant manufactured component with the synthetically-generated images of the non-compliant manufactured component into a training dataset to train a machine learning system. | 2021-07-01 |
20210201475 | SYSTEMS AND METHODS FOR ERROR CHECKING IN RADIOTHERAPY TREATMENT REPLANNING - A method for adaptive treatment planning is provided. The method may include obtaining a planning image volume of a subject, a treatment image volume of the subject, and a first treatment plan related to the planning image volume of the subject, each of the planning image volume and the treatment image volume including an ROI of the subject. The method may also include registering the planning image volume and the treatment image volume, and determining a first contour of the ROI in the registered planning image volume and a second contour of the ROI in the registered treatment image volume. The method may also include evaluating whether an error exists in at least one of the registration or the contour determination based on the first contour and the second contour, and determining a second treatment plan with respect to the treatment image volume based on the evaluation result. | 2021-07-01 |
20210201476 | SYSTEMS AND METHODS FOR PATIENT STRUCTURE ESTIMATION DURING MEDICAL IMAGING - Methods and systems are provided for estimating patient structure prior to a scan by a medical imaging system. As one example, a method may include acquiring depth images of a patient positioned on a table of the medical imaging system, correcting the depth images based on histogram data from the depth images, and extracting a three-dimensional structure of the patient based on the corrected depth images. | 2021-07-01 |
20210201477 | SYSTEMS AND METHODS FOR IMAGE PROCESSING - A method may include obtaining an image representing a region of interest (ROI) of an object. The ROI may include two or more sub-regions. The method may include determining an average value of quantitative indexes associated with elements in the image corresponding to a first region of the ROI. The method may include determining, for each of the two or more sub-regions of the ROI, a threshold based on the average value; identifying target elements in the image based on the thresholds of the two or more sub-regions. The method may include assigning a presentation value to each of at least some of the target elements based on the average value and the quantitative index of the each target element. The method may include generating a presentation of the image based on the presentation values. | 2021-07-01 |
20210201478 | IMAGE PROCESSING METHODS, ELECTRONIC DEVICES, AND STORAGE MEDIA - The present disclosure relates to an image processing method and apparatus, an electronic device, and a storage medium. The method includes: detecting an image to be processed to determine multiple target regions in the image to be processed and categories of the multiple target regions, the image to be processed at least comprising a part of a human body and a part of an image on a game table, and the multiple target regions comprising human-related target regions and game-related target regions; performing target recognition on the multiple target regions respectively according to the categories of the multiple target regions, to obtain recognition results of the multiple target regions; and determining association information among the target regions according to the position and/or recognition result of each target region. Embodiments of the present disclosure may implement automatic recognition and association of the target. | 2021-07-01 |
20210201479 | MACHINE LEARNING SYSTEMS AND METHODS FOR ASSESSMENT, HEALING PREDICTION, AND TREATMENT OF WOUNDS - Machine learning systems and methods are disclosed for prediction of wound healing, such as for diabetic foot ulcers or other wounds, and for assessment implementations such as segmentation of images into wound regions and non-wound regions. Systems for assessing or predicting wound healing can include a light detection element configured to collect light of at least a first wavelength reflected from a tissue region including a wound, and one or more processors configured to generate an image based on a signal from the light detection element having pixels depicting the tissue region, determine reflectance intensity values for at least a subset of the pixels, determine one or more quantitative features of the subset of the plurality of pixels based on the reflectance intensity values, and generate a predicted or assessed healing parameter associated with the wound over a predetermined time interval. | 2021-07-01 |
20210201480 | INTEGRATED METHOD FOR CANCER SCREENING - A method of screening for a cancer in a patient, an integrated method of screening for a cancer in a patient, a computer program product for carrying out the methods, as well as a medical imaging apparatus for carrying out the methods are disclosed. Based upon the above, it is possible that the patient will obtain a more reliable result from a first medical imaging treatment. | 2021-07-01 |
20210201481 | DATA PROCESSING METHOD, EQUIPMENT AND STORAGE MEDIUM - Methods, devices and storage media for data processing are provided. One of the methods include: obtaining a target image, wherein the target image comprises at least one tubular image; determining a spatial distribution feature and an image feature of each of the at least one tubular image; obtaining, based on a tubular structure recognition model, at least one fusion feature respectively corresponding to the at least one tubular image by fusing the spatial distribution feature and the image feature of each of the at least one tubular image; and recognizing, based on the tubular structure recognition model and the at least one fusion feature respectively corresponding to the at least one tubular image, at least one tubular structure respectively corresponding to the at least one tubular image. | 2021-07-01 |
20210201482 | MEDICAL INFORMATION PROCESSING APPARATUS, MEDICAL INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM STORING PROGRAM - In one embodiment, a medical information processing apparatus includes processing circuitry configured to: perform processing using a trained model that is generated by machine learning with a plurality of training data; acquire first attribute data indicating an attribute of an object-to-be-trained related to the plurality of training data that are used for generating the trained model; acquire second attribute data indicating an attribute of an object-to-be-diagnosed; and perform the processing on input-data of the object-to-be-diagnosed based on goodness of fit that is an index indicating degree of matching between the first attribute data and the second attribute data. | 2021-07-01 |
20210201483 | SYSTEMS AND METHODS FOR MEDICAL IMAGE ANALYSIS - Systems, instruments, and methods for medical treatment. The methods comprise, by a computing device: receiving information identifying at least one first point on a body part shown in a medical image; overlaying a first mark on the medical image for the at least one first point; generating a spline based at least on the first mark; overlaying a second mark for the spline on the medical image; identifying a location of at least one second point on the body part shown in the medical image based on the first and second marks; overlaying a third mark for the at least one second point on the medical image; and using at least the third mark to facilitate the medical treatment of an individual whose body part is shown in the medical image. | 2021-07-01 |
20210201484 | IMAGE ANALYSIS METHOD, IMAGE ANALYSIS APPARATUS, AND IMAGE ANALYSIS PROGRAM FOR ANALYZING CELL WITH DEEP LEARNING ALGORITHM - An image analysis method according one or more embodiments may analyze a form of a cell using a deep learning algorithm with a structure of a neural network. The image analysis method may include: generating data for analysis from an image for analysis in which an analysis target cell is captured; inputting the data for analysis into the deep learning algorithm; and generating data indicating a form of the analysis target cell using the deep learning algorithm. | 2021-07-01 |
20210201485 | COMPUTER SCORING BASED ON PRIMARY STAIN AND IMMUNOHISTOCHEMISTRY IMAGES RELATED APPLICATION DATA - Described herein are computer-implemented methods for analysis of a tissue sample. An example method includes: annotating the whole tumor regions or set of tumorous sub-regions either on a biomarker image or an H&E image (e.g. from an adjacent serial section of the biomarker image); registering at least a portion of the biomarker image to the H&E image; detecting different cellular and regional tissue structures within the registered H&E image; computing a probability map based on the different detected structures within the registered H&E image; deriving nuclear metrics from each of the biomarker and H&E images; deriving probability metrics from the probability map; and classifying tumor nuclei in the biomarker image based on the computed nuclear and probability metrics. | 2021-07-01 |
20210201486 | MEDICAL IMAGE PROCESSING APPARATUS, MEDICAL IMAGE PROCESSING METHOD, PROGRAM, DIAGNOSIS SUPPORTING APPARATUS, AND ENDOSCOPE SYSTEM - Provided are a medical image processing apparatus, a medical image processing method, a program, a diagnosis supporting apparatus, and an endoscope system that emphasize a region of interest in a medical image at an appropriate emphasis degree. The above problem is solved by a medical image processing apparatus including: an emphasis processing unit that emphasizes a region of interest included in a time-series medical image at a set emphasis degree; a total-time measuring unit that measures a total time during which the region of interest is emphasized; and an emphasis-degree setting unit that sets the emphasis degree to a relatively larger value as the total time is relatively longer. | 2021-07-01 |
20210201487 | REFERENCE IMAGE GUIDED OBJECT DETECTION IN MEDICAL IMAGE PROCESSING - In some examples, a method includes receiving a test image from a user or client, the test image depicting an anatomical region or structure of a human body, obtaining a reference image corresponding to the anatomical region or structure depicted in the test image, and analyzing the test image and the reference image to obtain a set of differences between the two images. In some examples, the method further includes, based at least in part on the set of differences, detecting a possible abnormality in the test image and outputting a result to the user or client. In some examples, a fast R-CNN is used to detecting the possible abnormality in the test image. | 2021-07-01 |
20210201488 | APPARATUS AND METHOD FOR AUTOMATED ANALYSES OF ULTRASOUND IMAGES - A non-transitory computer readable storage medium has instructions executed by a processor to execute a feature extractor to form extracted features from images formed by a first ultrasound scanner and a second ultrasound scanner. A decision maker is operated to form predictions of medical conditions based upon patterns identified in the extracted features. An evaluator is utilized to compare the predictions to labels in images to form a feature extractor performance measure and a decision maker performance measure. A dissimilarity estimator is operated to compute a difference measure between a probability distribution of features extracted from images formed by the first ultrasound scanner and the second ultrasound scanner. | 2021-07-01 |
20210201489 | SYSTEMS AND METHODS FOR GENERATING A DENTAL RECOMMENDATION BASED ON IMAGE PROCESSING - Disclosed here is a method of generating a dental recommendation based on image processing. Further, the method may include receiving at least one patient data comprising at least one image from at least one patient device. Further, the method may include retrieving at least one dental dataset. Further, the method may include analyzing the at least one patient data and the at least one dental dataset. Further, the method may include generating at least one landmark based on the analyzing. Further, the method may include retrieving at least one dental reference dataset. Further, the method may include processing the at least one landmark and the at least one dental reference dataset, determining at least one dental recommendation based on the processing, transmitting the at least one dental recommendation to at least one external device and storing the at least one dental recommendation. | 2021-07-01 |
20210201490 | SYSTEMS AND METHODS FOR MEDICAL IMAGING - A method for medical imaging may include obtaining a plurality of successive images of a region of interest (ROI) including at least a portion of an object's heart. The plurality of successive images may be based on imaging data acquired from the ROI by a scanner without electrocardiography (ECG) gating. The plurality of successive images may be related to one or more cardiac cycles of the object's heart. The method may also include automatically determining, in the plurality of successive images, target images that correspond to at least one of the one or more cardiac cycles of the object's heart. | 2021-07-01 |
20210201491 | CONTROL DEVICE, CONTROL METHOD, AND PROGRAM - The technology is provided to effectively visualize culture statuses related to a plurality of culture targets. | 2021-07-01 |
20210201492 | IMAGE-BASED SKIN DIAGNOSTICS - Examples of the present disclosure relate to systems and methods for generating more accurate image(s) of a user via a camera of a consumer product (e.g., mobile phone, tablet, laptop, etc.) for subsequent use in, for example, computer implemented applications, such as skin diagnosis, facial recognition, cosmetic simulation, selection and/or recommendation, etc. Examples of the systems and methods improve image accuracy and quality by addressing issues relating to unpredictable and inconsistent lighting conditions, among others. In an example, the system includes a mobile computing device and an object with known lighting and/or color attributes (e.g., a reference). Such an object acts as a calibration device for images to be captured by the mobile computing device. | 2021-07-01 |
20210201493 | AUTOMATIC DEMARCATION OF ANATOMICAL STRUCTURES - Methods, apparatuses, systems, and programs are disclosed herein for automatically demarcating segments of an anatomical structure and include providing a processor having a memory, receiving and storing three-dimensional (3D) model data of an anatomical structure of a patient in the memory, generating positional information to orient 3D model data of the anatomical structure, identifying at least one segment of the 3D model data of the anatomical structure based on the positional information, demarcating the at least one identified segment of the 3D model data of the anatomical structure with an identification enhancer that visually distinguishes the at least one identified segment, and providing, for display, the 3D model data of the anatomical structure with the at least one demarcated segment. | 2021-07-01 |
20210201494 | SYSTEMS AND METHODS FOR MATCHING COLOR AND APPEARANCE OF TARGET COATINGS - A system and method include receiving target image data associated with a target coating. A feature extraction analysis process is applied to the target image data to determine a target image feature. The feature extraction analysis process includes dividing the target image into sub-images which contains a plurality of target pixels. A machine learning model identifies one or more types of flakes present in the target coating using target pixel features. | 2021-07-01 |
20210201495 | MEDICAL IMAGE ANALYSIS SYSTEM AND SIMILAR CASE RETRIEVAL SYSTEM USING QUANTATIVE PARAMETERS, AND METHODS FOR THE SAME - Disclosed herein is a computing system for performing medical image analysis. A computing system for performing medical image analysis according to an embodiment of the present invention includes at least one processor. The at least one processor performs image processing on a first medical image, and segments at least one anatomical region in the first medical image. The at least one processor generates a first quantitative parameter for the at least one anatomical region based on quantitative measurement conditions that can be measured in the first medical image, and stores the first quantitative parameter in a database in association with the first medical image and the at least one anatomical region. | 2021-07-01 |
20210201496 | DEVICE, SYSTEM AND METHOD FOR IMAGE SEGMENTATION OF AN IMAGE OF A SCENE INCLUDING A SUBJECT - The present invention relates to a device, system and method for image segmentation of an image of a scene including a subject. To improve the segmentation, the device comprises a receiver ( | 2021-07-01 |
20210201497 | METHOD FOR DETERMINING SEGMENTATION THRESHOLD OF DIGITAL IMAGE OF ROCK-SOIL MATERIAL - A method for determining a segmentation threshold of a digital image of a rock-soil material is disclosed. The method comprises the following steps: S1: acquiring a gray-level histogram curve of an SEM image of the rock-soil material; S2: determining a value range of a segmentation threshold T according to the gray-level histogram curve; S3: acquiring second derivatives of the gray-level histogram curve; and S4: determining the segmentation threshold T according to the second derivatives of the gray-level histogram curve and the value range of the segmentation threshold T. The present invention can rapidly and accurately determine the segmentation threshold of the digital image of the rock-soil material, and accurately distinguish a pore or fissure structure from a surface soil skeleton structure of the rock-soil material in the digital image. | 2021-07-01 |
20210201498 | STATISTICAL DATA PROCESSING APPARATUS, STATISTICAL DATA PROCESSING METHOD AND COMPUTER PROGRAM - A statistical data processing device according to an embodiment includes: a first statistical image generation unit for generating statistical images for a predetermined region, the predetermined region being divided into sections on a basis of latitude and longitude, the statistical images including a first statistical image representing a first statistical value as a corresponding pixel value, the first statistical value being for each of first sections obtained from the region divided by a first area, and a second statistical image representing a second statistical value as a corresponding pixel value, the second statistical value being for each of second sections obtained from the region divided by a second area, a mask generation unit for generating a mask image, the mask image extracting, if one of a pixel of a first statistical image and a corresponding pixel of a second statistical image does not have a pixel value indicating a statistical value, a pixel not having a pixel value indicating the statistical value or other pixel, and a second statistical image generation unit for generating, on a basis of the first statistical image, the second statistical image, and the mask image, a third statistical image in which a pixel value of a pixel not having a pixel value indicating the statistical value is complemented with a pixel value of the other statistical image. | 2021-07-01 |
20210201499 | APPARATUS AND METHOD FOR IMAGE SEGMENTATION USING A DEEP CONVOLUTIONAL NEURAL NETWORK WITH A NESTED U-STRUCTURE - A non-transitory computer readable storage medium has instructions executed by a processor to receive an ultrasound image. The ultrasound image is applied to a sequence of encoders where each encoder in the sequence of encoders performs convolution neural network processing of a down-sampled version of the ultrasound image from a prior encoder, the sequence of encoders form a first dimension. The ultrasound image is applied to a transition encoder with an orthogonal dimension to the first dimension. The ultrasound image is applied to a sequence of decoders where each decoder in the sequence of decoders performs convolution neural network processing of an up-sampled version of the ultrasound image from a prior decoder, the sequence of decoders form a second parallel dimension to the first dimension. Encoder and decoder configurations and the first dimension, the orthogonal dimension and the second parallel dimension thereby define a nested U network architecture. Probability segmentation maps are produced from paired encoders and decoders in the sequence of encoders and the sequence of decoders. The probability segmentation maps are combined to form a final probability segmentation output. | 2021-07-01 |
20210201500 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, PROGRAM, AND PORTABLE TERMINAL DEVICE - There are provided an image processing device, an image processing method, a program, and a portable terminal device which more accurately extract a user's region of interest from an image with fewer operations. The object is solved by an image processing device which divides an acquired image into a plurality of regions, selects at least one region from among the plurality of divided regions, analyzes a relationship between the selected region and a region other than the selected region, and outputs a grouping candidate for a region belonging to the same group as the selected region from the analyzed relationship. | 2021-07-01 |
20210201501 | MOTION-BASED OBJECT DETECTION METHOD, OBJECT DETECTION APPARATUS AND ELECTRONIC DEVICE - A motion-based object detection method includes the steps of extracting, by processing acquired first and second images, one or more regions of interest (ROIs); transforming the one or more ROIs into grayscale; and acquiring, by processing the grayscale ROIs with a deep neural network (DNN) model to classify the objects contained in the one or more ROIs, a classification result of whether the objects contained in the one or more ROIs belong to a given categories. The DNN model comprises N (N is a positive integer and ranged from 4-12) depthwise separable convolution layers. each depthwise separable convolution layer comprises a depthwise convolution layer for applying a single filter to each input channel and a pointwise layer for creating a linear combination of the outputs of the depthwise convolution layer to obtain feature maps of the grayscale ROIs. | 2021-07-01 |
20210201502 | METHOD AND SYSTEM FOR MOTION PREDICTION - A method for motion prediction is provided. The method includes: capturing, by a single camera, a plurality of cameras or 3D software, images of an object at multiple angles to generate multi-view images of the object; synthesizing motion capture (MoCap) data according to the multi-view images; projecting a masking object onto the object to generate multi-view training images, wherein the multi-view training images are images in which parts of limbs of the object are unoccluded and other parts of the limbs of the object are occluded; and using the motion capture data and the multi-view training images to train a predictive model. | 2021-07-01 |
20210201503 | IMAGE ANALYSIS APPARATUS, IMAGE ANALYSIS METHOD AND PROGRAM RECORDING MEDIUM - The image analysis apparatus includes: a first analysis unit that analyzes image frames by using a first image analysis model; a second analysis unit that can analyze the image frames by using a second image analysis model an analysis accuracy of which is lower; a storage unit that stores therein analyzed frames, which are already analyzed by using the first and second image analysis models, in association with an evaluation value for evaluating a result of an analysis performed with the second image analysis model; an extraction unit that extracts an analyzed frame that satisfies an extraction condition based on the evaluation value; and an update unit that updates the second image analysis model by using a result of an analysis performed with the first image analysis model on the extracted analyzed frame, and a result of an analysis performed with the first image analysis model on a new frame. | 2021-07-01 |
20210201504 | VEHICLE TRAJECTORY PREDICTION MODEL WITH SEMANTIC MAP AND LSTM - A system and method for predicting the near-term trajectory of a moving obstacle sensed by an autonomous driving vehicle (ADV) is disclosed. The method applies neural networks such as a LSTM model to learn dynamic features of the moving obstacle's motion based on its past trajectory up to its current position and a CNN model to learn the semantic map features of the driving environment in a portion of an image map. From the learned dynamic features of the moving obstacle and the learned semantic map features of the environment, the method applies a neural network to iteratively predict the moving obstacle's positions for successive time points of a prediction interval. To predict the moving obstacle's position at the next time point from the currently predicted position, the methods may update the learned dynamic features of the moving obstacle based on its past trajectory up to the currently predicted position. | 2021-07-01 |
20210201505 | INDICATING OBJECTS WITHIN FRAMES OF A VIDEO SEGMENT - A method of providing an indication of objects in frames of a video segment and a video processor configured to perform such a method are described. First and second frames from the video segment are analyzed and candidate objects in the frames are determined. First and second sets of candidate objects in the frames are created that provide a size and location of each candidate object along with a probability that the determination as a candidate object is correct. Candidate objects that are determined to be the same object present in both the first and second frames are found. If the probability that the determination as a candidate object is correct from the second set is lower than the probability for the corresponding candidate object in the first set, the second set is amended by increasing the probability for the candidate object. | 2021-07-01 |
20210201506 | IMAGE RECOGNITION METHOD AND APPARATUS, AND COMPUTER-READABLE STORAGE MEDIUM - Image recognition method and apparatus, and computer-readable storage medium are provided. The method includes: determining changed object according to change of states of at least one group of target objects in detection area; obtaining a set of image frames in side view consisting of image frames in side view and at least one image frame to be matched that are collected within a first preset time period before states of at least one group of target objects in detection area are changed; determining associated image frame from at least one image frame to be matched; obtaining image frame in side view corresponding to associated image frame from the set of image frame in side view; and determining, according to associated image frame and the image frame in the side view, target intervention object having the highest degree of association with changed object from at least one intervention object. | 2021-07-01 |
20210201507 | System and Method for Movement Detection - Systems and methods for movement detection are provided. In one example embodiment, a computer-implemented method includes obtaining image data and range data representing a scene external to an autonomous vehicle, the image data including at least a first image and a second image that depict the scene. The method includes identifying a set of corresponding image features from the image data, the set of corresponding image features including a first feature in the first image having a correspondence with a second feature in the second image. The method includes determining a respective distance for each of the first feature and the second feature based at least in part on the range data. The method includes determining a velocity associated with a portion of a scene represented by the set of corresponding image features based at least in part on the respective distance for the first feature and the second feature. | 2021-07-01 |
20210201508 | METHOD FOR ANALYZING BEHAVIOR OF CELL, AND USE THEREOF - Even for the case where cells such as human epidermal keratinocytes form a dense colony, or the case where cell contours are indefinite, each of the cells is automatically tracked with high precision, and behavior of each cell is analyzed with good precision. There is provided a method for analyzing behavior of a cell, which comprises a detection step of detecting positions of a plurality of cells for every frame of time-lapse images, while determining whether a candidate region extracted from the frame is a cell region by using a dictionary containing image data of cell nuclei; and a tracking step of tracking each cell by using a state space model using position of a most adjacent cell within a predetermined distance from a predicted position as observation data. When any cell is not found within a certain distance from the predicted position, data are considered missing. | 2021-07-01 |
20210201509 | MONITORING METHOD AND DEVICE FOR MOBILE TARGET, MONITORING SYSTEM AND MOBILE ROBOT - The present application provides a monitoring method and device for a mobile target, a monitoring system and mobile robot. The present application through the technical solution that acquiring multiple-frame images captured by an image acquisition device under an moving state of a robot in a monitored region, selecting at least two-frame images with an overlapped region from the multiple-frame images, performing comparison between the selected images by image compensation method or feature matching method, and outputting monitoring information containing a mobile target which moves relative to a static target based on the result of comparison, wherein the position of the mobile target has an attribute of indefinite change, the mobile target in the monitored region can be recognized precisely during movement of the mobile robot, and monitoring information about the mobile target can be generated to prompt correspondingly, thereby safety of the monitored region can be effectively ensured. | 2021-07-01 |
20210201510 | SYSTEM AND METHOD FOR POSITION TRACKING USING EDGE COMPUTING - A tracking system includes a camera subsystem that includes cameras that capture vide of a space. Each camera is coupled with a camera client that determines local coordinates of people in the captured video. The camera clients generate frames that include color frames and depth frames labeled with an identifier number of the camera and their corresponding timestamps. The camera clients generate tracks that include metadata describing historical people detections, tracking identifications, timestamps, and the identifier number of the camera. The camera clients send the frames and tracks to cluster servers that maintain the frames and tracks such that they are retrievable using their corresponding labels. A camera server queries the cluster servers to receive the frames and tracks using their corresponding labels. The camera server determines the physical positions of people in the space based on the determined local coordinates. | 2021-07-01 |
20210201511 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - To improve user convenience as to adjustment for vibration correction of a captured image captured by an image capturing apparatus, a feature portion evaluation unit refers to feature portions selected by a feature portion selection unit and determines whether feature portions necessary for vibration isolation have been acquired from a reference image. The feature portion evaluation unit has the function of notifying information about the feature portions of the reference image in a case where the acquired feature portions do not satisfy a predetermined condition, that is, in a case where the reliability of the acquired feature portions does not reach a predetermined level. | 2021-07-01 |
20210201512 | METHOD AND APPARATUS FOR REGISTERING LIVE MEDICAL IMAGE WITH ANATOMICAL MODEL - Described herein is a method of registering a medical image of a subject with a 3D model of a subject, including calibrating the 3D model globally by aligning markers on the subject with corresponding markers on the 3D model; and calibrating the 3D model locally by aligning a scanning image of an internal structure of the subject with a corresponding internal structure of the 3D model. Also described herein is an apparatus of performing the method. | 2021-07-01 |
20210201513 | SYSTEMS AND METHODS FOR MATCHING COLOR AND APPEARANCE OF TARGET COATINGS - A system and method include receiving target image data associated with a target coating. A texture feature extraction analysis process is applied to the target image data to determine a target texture image feature. A machine learning model identifies one or more texture features for matching to a target coating. | 2021-07-01 |
20210201514 | METHOD AND SYSTEM FOR IMAGING A BIOLOGICAL TISSUE - The present disclosure relates to a method and a system for imaging a biological tissue. A monochromatic image of the biological tissue is obtained. A texture analysis of the biological tissue is performed using spatial information of the monochromatic image to identity features of the biological tissue. A texture image is generated based on the features of the biological tissue. The biological tissue of the subject is classified as normal or abnormal at least in part based on a comparison between first order statistics of the texture image and predetermined values. | 2021-07-01 |
20210201515 | METHOD AND SYSTEM FOR LOCATION DETECTION OF PHOTOGRAPHS USING TOPOGRAPHIC TECHNIQUES - A computer implemented method and system for identifying locations in photographs using topographic techniques is disclosed. The method comprises receiving an image; in response to receiving the image, generating a depth map of the image; removing non-geographic features from the depth map; generating a topographic map based on the depth map; modifying the topographic map to represent each pixel by height differential; and comparing the modified topographic map to a modified global topographic map to determine a location of the image. | 2021-07-01 |
20210201516 | SHAPE CHARACTERISTIC VALUE ESTIMATION APPARATUS, SHAPE CHARACTERISTIC VALUE ESTIMATION METHOD, AND STORAGE MEDIUM - An apparatus includes: a processed-image acquisition part for acquiring a processed image including image information of a surface of a substrate having a target film formed thereon; an estimation part for estimating a shape characteristic value of the target film, by applying an estimation model for estimating the shape characteristic value of the target film to the processed image; an underlying influence model creation part for creating an underlying influence model associated with a correlation between a difference between an estimation result of the shape characteristic value of the target film and a shape characteristic value of the target film acquired without using the estimation model, and information related to a color of a surface of an underlying substrate before the target film is formed, and an estimated-result correction part for correcting the estimation result of the shape characteristic value of the target film based on the underlying influence model. | 2021-07-01 |
20210201517 | DEPTH SENSING WITH A RANGING SENSOR AND AN IMAGE SENSOR - The present disclosure provides a device and method for depth sensing by utilizing the combination of a ranging sensor and an image sensor. The ranging sensor can accurately detect distance measurement from an object. The image sensor can take images with high resolution of the object. By combining each sensor data from the ranging sensor and the image sensor, accurate depth information with high resolution of the object may be obtained. A structured light having patterned shapes are used in conjunction with the ranging sensor to receive reflected patterned shapes of the object. These reflected patterned shapes are used to analyze distance measurements associated with the specific patterned shapes. These distance measurements from both the ranging sensor and the image sensor is aligned and combined to generate an accurate depth map with high resolution using a processor of an electronic device including the ranging sensor and the image sensor. | 2021-07-01 |
20210201518 | SYSTEM FOR ASSEMBLING COMPOSITE GROUP IMAGE FROM INDIVIDUAL SUBJECT IMAGES - A system for assembling a group composite image from individual subject images is described. Often subjects of a group vary in height. Additionally, as each subject is photographed individually, different zoom factors can be applied by a camera that affects a pixel density of the image captured. The system includes a fiducial marking device that emits collimated light to form one or more fiducial markers on a subject while an image is captured by the camera. Based on a location of the fiducial markers in the image, a pixel density of the image and a reference height of the subject can be determined. The individual subject image can be scaled based on the pixel density and reference height to account for the varying subject heights and zoom factors to generate a group composite image that accurately represents the subjects of the group relative to one another. | 2021-07-01 |
20210201519 | ALTERNATING LIGHT DISTRIBUTIONS FOR ACTIVE DEPTH SENSING - Aspects of the present disclosure relate to systems and methods for active depth sensing. An example apparatus configured to perform active depth sensing includes a projector. The projector is configured to emit a first distribution of light during a first time and emit a second distribution of light different from the first distribution of light during a second time. A set of final depth values of one or more objects in a scene is based on one or more reflections of the first distribution of light and one or more reflections of the second distribution of light. The projector may include a laser array, and the apparatus may be configured to switch between a first plurality of lasers of the laser array to emit light during the first time and a second plurality of laser to emit light during the second time. | 2021-07-01 |
20210201520 | SYSTEMS AND METHODS FOR SIMULATENOUS LOCALIZATION AND MAPPING - Various embodiments provide systems, methods, devices, and instructions for performing simultaneous localization and mapping (SLAM) that involve initializing a SLAM process using images from as few as two different poses of a camera within a physical environment. Some embodiments may achieve this by disregarding errors in matching corresponding features depicted in image frames captured by an image sensor of a mobile computing device, and by updating the SLAM process in a way that causes the minimization process to converge to global minima rather than fall into a local minimum. | 2021-07-01 |
20210201521 | IMAGE DEVICE CAPABLE OF PROCESSING IMAGES WITH DEPTH INFORMATION - An image device includes a first image capture module, a second image capture module, and an image processor. The first image capture module has a first field of view, and the second image capture module has a second field of view different from the first field of view. The image processor is coupled to the first image capture module and the second image capture module. The image processor sets a virtual optical center according to the first image capture module, the second image capture module, and a target visual scope, and generates a display image corresponding to the virtual optical center. | 2021-07-01 |
20210201522 | SYSTEM AND METHOD OF SELECTING A COMPLEMENTARY IMAGE FROM A PLURALITY OF IMAGES FOR 3D GEOMETRY EXTRACTION - A digital processing system for, a method, implemented on a digital processing system of, and a non transitory machine readable medium containing instructions that when executed implement the method of: automatically selecting one or more complementary images from a set of provided images for use with triangulation and determination of 3D properties of a user-selected point or geometric feature of interest, such as information on the slope (also called the pitch) and one or more dimensions of a roof of a building. The one or more complementary images are selected automatically by using an optimality criterion, also called a complementarity criterion. | 2021-07-01 |
20210201523 | METHOD FOR DETERMINING FEATURES OF A TRAILER TOWED BY A VEHICLE - A method for determining features of a trailer being towed by a vehicle includes initiating a calibration drive of the vehicle and capturing frames of image data via a vehicle camera, and, via processing by an image processor of frames of captured image data, determining features of the trailer being towed by the vehicle during the calibration drive. The features of the trailer are determined by determining features that have similar changes between a current frame of captured image data and a previous frame of captured image data captured during the calibration drive. The features are tracked over multiple frames of captured image data for different angular positions of the trailer relative to the vehicle to determine trailer length from the hitch ball of the vehicle to an axle of the trailer. The trailer angle is determined based on the determined trailer length. | 2021-07-01 |
20210201524 | METHOD FOR GENERATING ROOF OUTLINES FROM LATERAL IMAGES - A computer system generates an outline of a roof of a structure based on a set of lateral images depicting the structure. For each image in the set of lateral images, one or more rooflines corresponding to the roof of the structure are determined. The computer system determines how the rooflines connect to one another. Based on the determination, the rooflines are connected to generate an outline of the roof. | 2021-07-01 |
20210201525 | AUGMENTED REALITY DEVICE AND POSITIONING METHOD - A positioning method is provided for an electrical device including a depth sensor and an inertial measurement unit (IMU). The positioning method includes: calculating an initial position and an initial direction of the electrical device according to signals of the IMU; obtaining an environment point cloud from a database, and obtaining a partial environment point cloud according to the initial position and the initial direction; obtaining a read point cloud by the depth sensor; and matching the read point cloud and the partial environment point cloud to calculate an updated position and an updated direction of the electrical device. | 2021-07-01 |
20210201526 | DEEP LEARNING SYSTEM - A machine learning system is provided to enhance various aspects of machine learning models. In some aspects, a substantially photorealistic three-dimensional (3D) graphical model of an object is accessed and a set of training images of the 3D graphical mode are generated, the set of training images generated to add imperfections and degrade photorealistic quality of the training images. The set of training images are provided as training data to train an artificial neural network. | 2021-07-01 |
20210201527 | IMAGE PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM - The present disclosure relates to an image processing method and apparatus, an electronic device, and a storage medium. The method includes: acquiring at least two target images; determining an attention map of at least one target in each of the at least two target images according to a result of detecting target of each target image, where the attention map indicates the position of one target in a target image; and determining, based on each target image and the attention map of the at least one target in the each target image, a result of association that indicates whether a correspondence exists between at least some of targets in different target images. | 2021-07-01 |
20210201528 | WORKING VEHICLE AND TRAVELING MANAGEMENT SYSTEM FOR THE WORKING VEHICLE - A working vehicle includes a traveling body including a coupler to which a working device is connected, a marker provided to the working device, a marker detector provided to the traveling body to detect the marker, and a status calculator to calculate a status of the working device based on a detection data detected by the marker detector. | 2021-07-01 |
20210201529 | ASSOCIATING THREE-DIMENSIONAL COORDINATES WITH TWO-DIMENSIONAL FEATURE POINTS - An example method includes causing a light projecting system of a distance sensor to project a three-dimensional pattern of light onto an object, wherein the three-dimensional pattern of light comprises a plurality of points of light that collectively forms the pattern, causing a light receiving system of the distance sensor to acquire an image of the three-dimensional pattern of light projected onto the object, causing the light receiving system to acquire a two-dimensional image of the object, detecting a feature point in the two-dimensional image of the object, identifying an interpolation area for the feature point, and computing three-dimensional coordinates for the feature point by interpolating using three-dimensional coordinates of two points of the plurality of points that are within the interpolation area. | 2021-07-01 |
20210201530 | MARKER-BASED SHARED AUGMENTED REALITY SESSION CREATION - Method for creating marker-based shared augmented reality (AR) session starts with initializing a shared AR session by a first device and by a second device. The first device displays on a display a marker. The second device detects the marker using a camera included in the second device and captures an image of the marker using the camera. The second device determines a transformation between the first device and the second device using the image of the marker. A common coordinate frame is then determined using the transformation, the shared AR session is generated using the common coordinate frame, and the shared AR session is caused to be displayed by the first device and by the second device. Other embodiments are described herein. | 2021-07-01 |
20210201531 | POSE ESTIMATION AND APPLICATIONS USING COMPUTER IMAGING - Embodiments describe a method for positioning a hinged vehicle including a primary part and a secondary part coupled to the primary part at a project site. The method includes receiving, from an image capturing device, digital image data representing one or more features of the secondary part; performing image analysis on the digital image data to identify positions of the one or more features of the secondary part; identifying an angle of at least a portion of the secondary part; calculating a current position of the secondary part based on the angle; calculating a positional difference between a correct position at the project site for the secondary part and a current position of the secondary part at the project site; and initiating a change in a position of the primary part to compensate for the positional difference and to position the secondary part on the correct position. | 2021-07-01 |
20210201532 | IMAGE PROCESSING METHOD AND APPARATUS, AND STORAGE MEDIUM - The present disclosure relates to an image processing method and apparatus, an electronic device, and a storage medium. The method includes: acquiring a first image and a first attention map of a first target object in the first image, where the first attention map indicates the position of the first target object in the first image; acquiring a second image and a second mask image of the second image, where pixel values of pixels in the second mask image are equal; and obtaining, according to first input information and second input information, a first prediction result that indicates the position of the first target object in the second image, where the first input information is determined according to the first image and the first attention map, and the second input information is determined according to the second image and the second mask image. | 2021-07-01 |
20210201533 | INFORMATION PROCESSING DEVICE, MOBILE BODY, AND LEARNING DEVICE - An information processing device includes an acquisition interface and a processor. The acquisition interface acquires a first detection image obtained by capturing an image of a plurality of target objects including a first target object and a second target object, which is more transparent to visible light than the first target object, using the visible light, and a second detection image obtained by capturing an image of the plurality of target objects using infrared light. The processor obtains a first feature amount based on the first detection image, obtains a second feature amount based on the second detection image, and calculates a third feature amount corresponding to a difference between the first feature amount and the second feature amount. The processor detects a position of the second target object in at least one of the first detection image and the second detection image, based on the third feature amount. | 2021-07-01 |