37th week of 2022 patent applcation highlights part 55 |
Patent application number | Title | Published |
20220292624 | METHOD FOR INSERTING INFORMATION INTO AN IMAGE AND CORRESPONDING DEVICE - A method for inserting information into a first image including N | 2022-09-15 |
20220292625 | PRE-PRESS WARPING ARRANGEMENTS FOR WATERMARKS AND ASSOCIATED GRAPHIC ARTWORKS, WITH RELATED QUALITY CONTROL TECHNIQUES - Consumer product labels sometime include 2D machine readable codes, such as digital watermark patterns. When such label artwork is printed on a plastic sleeve that is then heat-shrunk to conform to a plastic container, the code can become distorted and unreadable. Various techniques are detailed to cope with this problem. Additionally, methods are disclosed to assess—before a heat-shrink label is applied to a product—the expected final readability of any machine readable code included in the label artwork. A variety of other features and arrangements are also detailed. | 2022-09-15 |
20220292626 | PACKET PROCESSING ACCELERATION USING PARALLEL PROCESSING - Apparatuses, systems, and techniques to process packet data in parallel. In at least one embodiment, packet data is processed by (e.g., one or more algorithms expressed in CUDA code executing on) a Graphics Processing Unit (“GPU”). | 2022-09-15 |
20220292627 | METHOD AND ELECTRONIC DEVICE FOR BOOSTING GRAPHICS PERFORMANCE - Disclosed is a method for boosting (e.g., improving) graphics performance of an electronic device. The method for boosting graphics performance of an electronic device comprises: determining a context of the electronic device for boosting the graphics performance, determining a current state of the electronic device, determining at least one graphics configuration of hardware components of the electronic device and at least one application of the electronic device based on the context of the electronic device and the current state of the electronic device and generating a virtual display for displaying the at least one application based on the at least one graphics configuration of the hardware components and the at least one application. | 2022-09-15 |
20220292628 | IMAGE PROCESSING METHOD AND APPARATUS - A method includes: displaying an interaction interface of an application, and when a preset operation performed by a user on the interaction interface is detected, decoding to-be-displayed image data of the application into bitmap data, and encapsulating the bitmap data into texture data; storing the texture data in a memory partition accessible to a graphics processing unit GPU; triggering the GPU to read the texture data and perform drawing processing to obtain rendered data; and triggering a display to display an image based on the rendered data. | 2022-09-15 |
20220292629 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM - An image processing apparatus is disclosed. The image processing apparatus includes a processor connected to a memory. The processor functions as a deformation unit. The deformation unit serves to deform a reference projection screen that is a projection screen of a surrounding image of a moving object. The reference projection screen is deformed by using position information in which detection points around the moving object are accumulated and using self-location information of the moving object. | 2022-09-15 |
20220292630 | TRANSFORM MATRIX LEARNING FOR MULTI-SENSOR IMAGE CAPTURE DEVICES - Artefacts in a sequence of image frames may be reduced or eliminated through modification of an input image frame to match another image frame in the sequence, such as by geometrically warping to generate a corrected image frame with a field of view matched to another frame in sequence of frames with the image frame. The warping may be performed based on a model generated from data regarding the multi-sensor device. The disparity between image frames may be modeled based on image captures from the first and second image sensor for scenes at varying depths. The model may be used to predict disparity values for captured images, and those predicted disparity values used to reduce artefacts resulting from image sensor switching. The predicted disparity values may be used in image conditions resulting in erroneous actual disparity values. | 2022-09-15 |
20220292631 | IMAGE-GUIDED DEPTH PROPAGATION FOR SPACE-WARPING IMAGES - Updating an image during real-time rendering of images by a display device can include determining a depth for each pixel of a color frame received from a source device and corresponding to the image. Each pixel's depth is determined by image-guided propagation of depths of sparse points extracted from a depth map generated at the source device. With respect to pixels corresponding to an extracted sparse depth point, image-guided depth propagation can include retaining the depth of the corresponding sparse depth point unchanged from the source depth map. With respect to each pixel corresponding to a non-sparse depth point, image-guided depth propagation can include propagating to the corresponding non-sparse depth point a depth of a sparse depth point lying within a neighborhood of the non-sparse depth point. Pixel coordinates of the color frame can be transformed for generating a space-warped rendering of the image. | 2022-09-15 |
20220292632 | METHOD FOR COMPUTING, COMPUTING DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM - A method for computing, a computing device, and a computer-readable storage medium are provided. The method includes determining a first pixel block in a cache. The first pixel block is composed of a 2m row×2n column pixel matrix and includes original pixel data and pixel data related to the original pixel data. The first pixel block is read from the cache. At least part of the pixel data related to the original pixel data is used for padding related to the original pixel data. The original pixel data includes pixel data from the (n+1) | 2022-09-15 |
20220292633 | IMAGE STITCHING FOR HIGH-RESOLUTION SCANS - A computer-implemented method is disclosed for image stitching for a plurality of digital images of an infrastructure surface for defect detection. The method includes providing a plurality of partial digital images of an infrastructure surface. The method includes extracting global positioning system meta-data from data corresponding to the partial digital images. The method includes determining feature descriptions of features in the one or more partial digital images. The method includes executing a scheduled processing sequence for the partial digital images based on the extracted global positioning system meta-data including determining an affinity matrix using the feature descriptions of adjacent partial digital images to incrementally position each of the partial digital images such that an overview image of the infrastructure surface is produced by iteratively digitally stitching the plurality of partial digital images together. | 2022-09-15 |
20220292634 | SYSTEM AND A METHOD FOR SURVEYING GRAPHICAL OBJECTS ON A SCREEN DISPLAY - A method, a computer program, or a computerized system for monitoring graphical content of a screen display by the actions of receiving, by a first software program executed by a processor of a computerized device communicatively coupled to a first server via a communication network, at least one parameter characterizing a graphical object; monitoring a stream of data received by a second software program executed by the processor of the computerized device communicatively coupled to a second server via the communication network, to capture the at least one parameter characterizing a graphical object; monitoring a stream of data between the second software program and a screen display of the computerized device to capture at least one graphical object associated with the at least one parameter characterizing the graphical object; and capturing the graphical object. | 2022-09-15 |
20220292635 | METHOD AND APPARATUS WITH IMAGE CORRECTION - A method and apparatus with image correction is provided. A processor-implemented method includes generating, using a neural network model provided an input image, an illumination map including illumination values dependent on respective color casts by one or more illuminants individually affecting each pixel of the input image, and generating a white-adjusted image by removing at least a portion of the color casts from the input image using the generated illumination map. | 2022-09-15 |
20220292636 | Image enlarging apparatus and method having super resolution enlarging mechanism - The present invention discloses an image enlarging method having super resolution enlarging mechanism that includes the steps outlined below. An enlarging module of a neural network system receives an input image to generate an enlarged image. A front end convolutional path included in a neural network module of the neural network system receives the input image to perform convolution to generate a front end operation output result. Branching convolutional paths included in the neural network module respectively receive the front end operation output result to perform convolution to generate groups of output image residues. A mixing module of the neural network system weights the output image residues according to weighing settings related to image regions of the input image and mixes the weighted output image residues to generate a group of final output image residue such that an enhancement module enhances the enlarged image to generate an output enlarged image. | 2022-09-15 |
20220292637 | Methods for High Spatial and Temporal Resolution Ultrasound Imaging of Microvessels - Systems and methods for high spatial and temporal resolution ultrasound imaging of microvessels in a subject are described. Ultrasound data are acquired from a region-of-interest in a subject who has been administered a microbubble contrast agent. The ultrasound data are acquired while the microbubbles are moving through, or otherwise present in, the region-of-interest. The region-of-interest may include, for instance, microvessels or other microvasculature in the subject. By imaging microbubbles, a cross-correlation map between each microbubble image and a point spread function of the system can be generated. Accumulation of power-based cross-correlation maps may then be used to generate a high-resolution high-contrast image of the microvasculature. | 2022-09-15 |
20220292638 | VIDEO RESOLUTION ENHANCEMENT METHOD, STORAGE MEDIUM, AND ELECTRONIC DEVICE - Provided are a method for enhancing a video resolution enhancement, a computer readable storage medium, and an electronic device. The method includes: obtaining multiple image frames as input data, and obtaining initial data by performing feature extraction on the input data using a first three-dimensional convolutional layer; obtaining first feature data by performing down-sampling on the initial data at a preset multiple; obtaining first reference data by performing a convolution operation on the first feature data using a second three-dimensional convolutional layer to merge the first feature data as one frame; and obtaining first output data by performing up-sampling on the first reference data at the preset multiple. | 2022-09-15 |
20220292639 | TECHNIQUES AND APPARATUS FOR ALPHABET-PARTITION CODING OF TRANSFORM COEFFICIENTS FOR POINT CLOUD COMPRESSION - A method, apparatus, and computer-readable medium for point cloud coefficient coding are provided. The method may include receiving compressed point cloud data based on set-index values and symbol-index values; and entropy-decoding the set-index values based on the compressed point cloud data. The symbol-index values may be bypass-decoded based on the compressed point cloud data, and the set-index values and symbol-index values may be combined into transform coefficients associated with cloud point data. | 2022-09-15 |
20220292640 | IMAGE PROCESSING APPARATUS, IMAGE FORMING SYSTEM, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM - There is provided with an image processing apparatus that generates learning data for use in machine learning using a model. An obtaining unit is configured to obtain a first image for use in learning by the model. A generating unit is configured to, in a case where a first luminance of the first image is greater than a threshold, generate a second image with a second luminance different to the first luminance. | 2022-09-15 |
20220292641 | DYNAMIC IMAGING AND MOTION ARTIFACT REDUCTION THROUGH DEEP LEARNING - A deep neural network for motion artifact reduction includes a transformer neural network, and a synthesis neural network. The transformer neural network is configured to receive input image data comprising a target image, a prior image, and a subsequent image. The transformer neural network is configured to mitigate a temporal aspect of the motion artifact, and to provide a transformer output related to the input data. The synthesis neural network is configured to receive the transformer output, and to provide at least one output image having a reduced motion artifact relative to the input image data. | 2022-09-15 |
20220292642 | IMAGE ENHANCEMENT SYSTEM AND METHOD BASED ON GENERATIVE ADVERSARIAL NETWORK (GAN) MODEL - An image enhancement system and method based on a generative adversarial network (GAN) model. The image enhancement system includes an acquiring unit, a training unit and an enhancement unit. The acquiring unit is configured to acquire a first image of a driving environment captured by a camera of a first vehicle and a second image of the driving environment captured by a camera of a second vehicle. The training unit is configured to train a GAN by using the first training image to obtain an image enhancement model. The enhancement unit is configured to enhance the second image by inputting the second image into the image enhancement model. | 2022-09-15 |
20220292643 | FACE DETECTION AND BLURRING METHODS AND SYSTEMS - Methods, systems, and devices for generating a training set and using the training set to train an artificial intelligence algorithm to detect and blur faces in images of an interior space are described. An example method for generating a training set includes selecting a first image depicting an interior of a room, selecting a second image depicting at least a face of a person, generating, based on a transparency parameter and a roughness parameter, a semi-transparent surface image, selecting an illumination parameter to configure a first illumination level for the first image and a second illumination level for the second image, and generating a first composite image of the training data set by combining the illumination parameter, the first image, the second image, and the semi-transparent surface image. | 2022-09-15 |
20220292644 | ELECTRONIC DEVICE AND IMAGE SIGNAL PROCESSING METHOD OF REMOVING BACKGROUND NOISE BASED ON SPATIAL FREQUENCY - An electronic device and an image signal processing method of removing background noise based on spatial frequency are provided. The electronic device includes an image sensor and a processor. The image sensor senses an image of an object. The processor executes image signal processing operations of: receiving a composite image generated by the image sensor; transforming the composite image from a spatial domain to a frequency domain to obtain a composite frequency domain component; eliminating a background component, corresponding to a frequency domain noise position, from a second frequency domain component to obtain a clear frequency domain component representative of the image signal; and performing subsequent processing according to the clear frequency domain component to generate the image signal for the electronic device. | 2022-09-15 |
20220292645 | METHOD FOR RESTORING VIDEO DATA OF DRAINAGE PIPE BASED ON COMPUTER VISION - A method for restoring video data of a pipe based on computer vision is provided, including: performing gray stretching on pipe image/video collected by a pipe robot; processing noise interference by smoothing filtering; extracting an iron chain from the center of a video image as a template for location; performing target recognition on the center of video data by an SIFT corner detection algorithm; detecting ropes on left and right sides of a target by Hough transform; performing gray covering on the iron chain at the center of the video image and the ropes on two sides; and restoring data by an FMM image restoration algorithm. | 2022-09-15 |
20220292646 | SYSTEM AND METHOD FOR IMAGE RECONSTRUCTION - The present disclosure relates to a system, method and storage medium for generating an image. At least one processor, when executing instructions, may perform one or more of the following operations. When raw data is received, a plurality of iterations may be implemented. During each iteration, a first voxel value relating to a first voxel in an image is calculated; at least a portion of a second voxel may be continuously changed with respect to at least a portion of the first voxel value; the image may be transformed to a projection domain to generate an estimated projection based on the first voxel value and the second voxel value; a projection error may be obtained based on the estimated projection and the raw data; and the image may be corrected or updated based on the projection error. | 2022-09-15 |
20220292647 | APPARATUS AND METHOD FOR PROCESSING IMAGE - There are disclosed an apparatus and method for processing images. The apparatus for processing images according to an embodiment includes an image input unit configured to receive a first image of a Bayer pattern including noise and an image output unit configured to output a noise-removed image by removing noise from the first image using a noise removal model, and the noise removal model includes a color correlation block configured to generate a second image of the Bayer pattern including RGB correlation information about the first image from the first image by performing rearrange and convolution operations on the first image, a discrete cosine transform (DCT) block configured to generate a third image in which a high-frequency component of the first image is highlighted by applying a DCT to the first image, and one or more discrete wavelet transform (DWT) blocks configured to generate a low-frequency feature map and one or more high-frequency feature maps by applying a DWT to a first feature map generated based on the first image, the second image, and the third image, and generate a final feature map in which a high-frequency component and a low-frequency component of the first feature map are highlighted based on the low-frequency feature map and the one or more high-frequency feature maps. | 2022-09-15 |
20220292648 | Lensless Imaging Device - Technology is described for methods and systems for imaging an object ( | 2022-09-15 |
20220292649 | CORRECTIVE LIGHTING FOR VIDEO INPAINTING - Certain aspects involve video inpainting in which content is propagated from a user-provided reference video frame to other video frames depicting a scene. One example method includes one or more processing devices that performs operations that include accessing a scene depicting a reference object that includes an annotation identifying a target region to be modified in one or more video frames. The operations also includes computing a target motion of a target pixel that is subject to a motion constraint. The motion constraint is based on a three-dimensional model of the reference object. Further, operations include determining color data of the target pixel to correspond to the target motion. The color data includes a color value and a gradient. Operations also include determining gradient constraints using gradient values of neighbor pixels. Additionally, the processing devices updates the color data of the target pixel subject to the gradient constraints. | 2022-09-15 |
20220292650 | GENERATING MODIFIED DIGITAL IMAGES USING DEEP VISUAL GUIDED PATCH MATCH MODELS FOR IMAGE INPAINTING - The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly generating modified digital images utilizing a guided inpainting approach that implements a patch match model informed by a deep visual guide. In particular, the disclosed systems can utilize a visual guide algorithm to automatically generate guidance maps to help identify replacement pixels for inpainting regions of digital images utilizing a patch match model. For example, the disclosed systems can generate guidance maps in the form of structure maps, depth maps, or segmentation maps that respectively indicate the structure, depth, or segmentation of different portions of digital images. Additionally, the disclosed systems can implement a patch match model to identify replacement pixels for filling regions of digital images according to the structure, depth, and/or segmentation of the digital images. | 2022-09-15 |
20220292651 | System and Method for Image Inpainting - A system for image inpainting is provided, including an encoder, a decoder, and a sketch tensor space of a third-order tensor; wherein the encoder includes an improved wireframe parser and a canny detector, and a pyramid structure sub-encoder; the improved wireframe parser is used to extract line maps from an original image input to the encoder, the canny detector is used to extract edge maps from the original image, and the pyramid structure sub-encoder is used to generate the sketch tensor space based on the original image, the line maps and the edge maps; and the decoder outputs an inpainted image from the sketch tensor space. A method thereof is also provided. | 2022-09-15 |
20220292652 | IMAGE GENERATION METHOD AND INFORMATION PROCESSING DEVICE - The image generation method includes the steps of outputting a first image to a projector, obtaining a taken image obtained by imaging a projection surface on which a projection image based on the first image is projected by the projector, detecting, from the taken image, a first projection area of the projection surface on which the projection image is projected, generating a first adjusting image obtained by superimposing an icon or a plurality of icons representing a correction direction of one of correction target points on a contour of the first projection area on the taken image, making a display device display the first adjusting image, and generating a second image based on a second position when an instruction of moving the one of the correction target points from a first position to the second position with respect to the icon or the plurality of icons is received. | 2022-09-15 |
20220292653 | OVERLAPPED CURVE MAPPING FOR HISTOGRAM-BASED LOCAL TONE AND LOCAL CONTRAST - Methods and apparatuses are disclosed herein for performing tone mapping and/or contrast enhancement. In some examples, a block mapping curve is low-pass filtered with block mapping curves of surrounding blocks to form a smoothed block mapping curve. In some examples, overlapped curve mapping of block mapping curves, including smoothed block mapping curves, is performed, including weighting, based on a pixel location, block mapping curves of a group of blocks to generate an interpolated block mapping curve and applying the interpolated block mapping curve to a pixel to perform ton mapping and/or contrast enhancement. | 2022-09-15 |
20220292654 | GENERATING DEEP HARMONIZED DIGITAL IMAGES - The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly generating harmonized digital images utilizing a self-supervised image harmonization neural network. In particular, the disclosed systems can implement, and learn parameters for, a self-supervised image harmonization neural network to extract content from one digital image (disentangled from its appearance) and appearance from another from another digital image (disentangled from its content). For example, the disclosed systems can utilize a dual data augmentation method to generate diverse triplets for parameter learning (including input digital images, reference digital images, and pseudo ground truth digital images), via cropping a digital image with perturbations using three-dimensional color lookup tables (“LUTs”). Additionally, the disclosed systems can utilize the self-supervised image harmonization neural network to generate harmonized digital images that depict content from one digital image having the appearance of another digital image. | 2022-09-15 |
20220292655 | MEDICAL IMAGE PROCESSING APPARATUS, X-RAY DIAGNOSTIC APPARATUS, AND METHOD OF MEDICAL IMAGE PROCESSING - A medical image processing apparatus of an embodiment includes processing circuitry acquiring an X-ray image about a subject, acquiring an ultrasonic image data about the subject, extracting an object contained in the X-ray image, and performing processing based on the position of the extracted object on the ultrasonic image data in accordance with the relative positional relation between a coordinate system in the X-ray image and a coordinate system in the ultrasonic image data to generate a composite image as a combination of a processed ultrasonic image data after being subjected to the processing and the X-ray image. | 2022-09-15 |
20220292656 | METHOD AND APPARATUS FOR BONE SUPPRESSION IN X-RAY IMAGE - Provided is a method for bone suppression in an X-ray image, which includes: extracting an upper contour line and a lower contour line corresponding to a bone to be suppressed from the original X-ray image; generating a first binarization image and a second binarization image based on the upper contour line and the lower contour line, respectively; generating a first distance transform image and a second distance transform image from the first binarization image and the second binarization image, respectively through distance transform; generating a compensated first X-ray image and a compensated second X-ray image by compensating a pixel value of a region which belongs to the bone by using the first distance transform image and the second distance transform image, respectively from the original X-ray image; and synthesizing the compensated first X-ray image and the compensated second X-ray image to obtain a bone-suppressed X-ray image. | 2022-09-15 |
20220292657 | SYSTEMS, DEVICES, AND METHODS FOR HARMONIZATION OF IMAGING DATASETS INCLUDING BIOMARKERS - An exemplary system, method and computer-accessible medium for harmonizing neuromelanin (NM) data using combat directly on a NM database or using combat generated coefficients to harmonize future data can include, for example, receiving imaging information of a brain of the patient(s), from one MRI scanner, receiving imaging information of a brain of the patient(s), from a second MRI scanner and using combat to harmonize the data between scanners against a reference dataset. The Neuromelanin (NM) concentration of the patient(s) can then be determined based on the harmonized data. The NM concentration can be determined using a voxel-wise analysis procedure. The voxel-wise analysis procedure can be used to determine a topographical pattern(s) within a substantia nigra (SN) of the brain of the patient(s). | 2022-09-15 |
20220292658 | IMAGE FUSION METHOD AND APPARATUS, STORAGE MEDIUM, AND ELECTRONIC DEVICE - Provided are an image fusion method, a storage medium and an electronic device are to-be-fused are acquired. Luminance and chrominance separation is performed on the visible light image to extract a luminance component and a chrominance component. Luminance fusion is performed on the luminance component of the visible light image and the infrared image to obtain a luminance fusion result. Image reconstruction is performed according to the luminance fusion result and the chrominance component of the visible light image to obtain a fused image. | 2022-09-15 |
20220292659 | Secondary Detection System For Integrating Automated Optical Inspection And Neural Network And Method Thereof - A secondary detection system for integrating automated optical inspection and neural network and a method thereof are disclosed. In the secondary detection system, an automated optical inspection apparatus performs automated optical inspection for pin solder joints on circuit board, and when a detection result indicates abnormal condition, the secondary detection device calculates a detection image probability value based on the component image feature and the template image feature, and calculate pin solder joint image probability values based on the component pin solder joint image feature and the template pin solder joint image feature through siamese neural network, to obtain a minimum probability value among the detection image probability value and pin solder joint image probability values. The minimum probability value is used to determine whether to change the detection result, thereby providing accurate detection result of automated optical inspection and increasing a first pass yield. | 2022-09-15 |
20220292660 | Manufacturing Method of a Component Carrier, Handling System, Computer Program and System Architecture - A method for manufacturing a component carrier. The method includes (a) supplying a semifinished or finished component carrier to an automatic or semi-automatic optical inspection device and (b) performing an automatic or semi-automatic optical inspection by capturing a first image with a first illumination; capturing a second image with a second illumination; comparing a data set indicative of the first image and/or the second image with a reference data set; and identifying potential defects; (c) performing a quality classification of the semifinished or finished component carrier by generating a virtual third image indicative of the component carrier under a virtual different third illumination having a third spectral composition different from both the first spectral composition and from the second spectral composition; processing the three images; classifying the potential defects in true defects and false defects; and (d) taking action based on the quality classification. Further described is a system architecture. | 2022-09-15 |
20220292661 | AUTOMATED INSPECTION SYSTEM AND OPERATING METHOD THEREOF - An automated inspection system includes a machine-vision inspection device, a repair station and an artificial intelligence module connected to the machine-vision inspection device, and a processing platform connected to the repair station and the artificial intelligence module. The machine-vision inspection device obtains an image of a to-be-inspected object and displays the image on an operation screen of the repair station, the artificial intelligence module retrieves the image of the to-be-inspected object to perform inference for classification, the processing platform automatically overlaps result data of classification inference for the image of the to-be-inspected object on the operation screen of the repair station, and intercepts and transmits result data of manual review, which is inputted by an operator through a user interface, to the repair station. The processing platform then transmits the result data of manual review to the artificial intelligence module as the data for automatically re-training a classification model. | 2022-09-15 |
20220292662 | INFORMATION PROCESSING APPARATUS,INFORMATION PROCESSING METHOD,AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM - An information processing apparatus obtains pieces of defect data respectively extracted from a plurality of images captured at different times and detects developing defects on the basis of differences between the pieces of defect data extracted from the images captured at the different times. The information processing apparatus further calculates priority levels of the defects on the basis of the differences between the pieces of defect data, specifies regions that cover the developing defects, and displays the specified regions in accordance with the priority levels. | 2022-09-15 |
20220292663 | TECHNOLOGIES FOR DETERMINING THE ACCURACY OF THREE-DIMENSIONAL MODELS FOR USE IN AN ORTHOPAEDIC SURGICAL PROCEDURE - Technologies for determining the accuracy of three-dimensional models include a device having circuitry to obtain two-dimensional images of an anatomical object (e.g., a bone of a human joint), to obtain a candidate three-dimensional model of the anatomical object, and to produce two-dimensional silhouettes of the candidate three-dimensional model. The circuitry is also to apply an edge detection algorithm to the two-dimensional images to produce corresponding edge images and to compare the two-dimensional silhouettes to the edge images to produce a score indicative of an accuracy of the candidate three-dimensional model. | 2022-09-15 |
20220292664 | CURB INSPECTION TOOL - Techniques for measuring a monument, including obtaining a set of two or more images of a monument environment, detecting a set of markers in the set of images, wherein the set of markers are positioned on a plane level with respect to gravity by a leveling device, and wherein the leveling device is configured to automatically level the markers, generating a virtual representation of the monument environment with respect to gravity, mapping the monument to a virtual representation, determining one or more slopes and dimensions of the monument based on the mapped monument and the gravity plane, and outputting the one or more slopes and dimensions of the monument. | 2022-09-15 |
20220292665 | WORKPIECE SURFACE DEFECT DETECTION DEVICE AND DETECTION METHOD, WORKPIECE SURFACE INSPECTION SYSTEM, AND PROGRAM - A synthetic image is created by calculating a statistical variation value in a plurality of images using the plurality of images obtained by an image-capturing means ( | 2022-09-15 |
20220292666 | SYSTEMS AND METHODS FOR DETECTING WIND TURBINE OPERATION ANOMALY USING DEEP LEARNING - A system and method including receiving historical time series sensor data associated with operation of an industrial asset; generating visual representation images of scatter plots based on the historical time series sensor data based on a reference to a digitized knowledge domain associated with the industrial asset; assigning a root cause label to each image; generating a convolutional neural network (CNN) model trained and tested using subsets of the labeled images; and processing, by the CNN model, a real-time image to detect at least one anomaly in the real-time image and one or more root causes associated with the at least one anomaly. | 2022-09-15 |
20220292667 | OPTICAL INSPECTION OF A WAFER - An image analysis device may align an image to determine a position of a wafer within the image. The wafer may include a plurality of wafer bumps. The image analysis device may mask, based on the position of the wafer, the image to obtain an image of a portion of the wafer. The image analysis device may binarize the image of the portion of the wafer to create a binarized image of the portion of the wafer. The image analysis device may determine a bump pattern, associated with the plurality of wafer bumps, based on the binarized image of the portion of the wafer. The image analysis device may perform a defect analysis of the determined bump pattern. The defect analysis may be associated with detecting regions of the portion of the wafer in which one or more wafer bumps have abnormal bump heights. | 2022-09-15 |
20220292668 | DIGITAL QUALITY CONTROL USING COMPUTER VISIONING WITH DEEP LEARNING - Implementations include receiving sample data, the sample data being generated as digital data representative of a sample of the product, providing a set of features by processing the sample data through multiple layers of a residual network, a first layer of the residual network identifying one or more features of the sample data, and a second layer of the residual network receiving the one or more features of the first layer, and identifying one or more additional features, processing the set of features using a CNN to identify a set of regions, and at least one object in a region of the set of regions, and determine a type of the at least one object, and selectively issuing an alert at least partially based on the type of the at least one object, the alert indicating contamination within the sample of the product. | 2022-09-15 |
20220292669 | STOCHASTIC CONTOUR PREDICTION SYSTEM, METHOD OF PROVIDING THE STOCHASTIC CONTOUR PREDICTION SYSTEM, AND METHOD OF PROVIDING EUV MASK USING THE STOCHASTIC CONTOUR PREDICTION SYSTEM - The inventive concepts provide a method of providing a stochastic prediction system. The method includes extracting contours of patterns corresponding to a first design layout from a plurality of scanning electron microscope (SEM) images, respectively, generating a first contour histogram image based on the contours, and training a stochastic prediction model by using the first contour histogram image as an output, and by using the first design layout and a first resist image, a first aerial image, a first slope map, a first density map, and/or a first photo map corresponding to the first design layout as inputs, in which the stochastic prediction model comprises a cycle generative adversarial network (GAN). | 2022-09-15 |
20220292670 | SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES TO DETERMINE TESTING FOR UNSTAINED SPECIMENS - A computer-implemented method may include receiving a collection of unstained digital histopathology slide images at a storage device and running a trained machine learning model on one or more slide images of the collection to infer a presence or an absence of a salient feature. The trained machine learning model may have been trained by processing a second collection of unstained or stained digital histopathology slide images and at least one synoptic annotation for one or more unstained or stained digital histopathology slide images of the second collection. The computer-implemented method may further include determining at least one map from output of the trained machine learning model and providing an output from the trained machine learning model to the storage device. | 2022-09-15 |
20220292671 | IMAGE ANALYZING DEVICE AND IMAGE ANALYZING METHOD - An object to allow an automatic discrimination between a super enlarged image and a non-enlarged image in a computer diagnosis assistance system that analyzes a state of an epithelium using an image analysis. An image analyzing device according to this disclosure is the image analyzing device to be connected to an endoscope, and includes a target image determination unit that obtains an image from the endoscope and determines whether or not the image is a target image using a halation region included in the image, and an image analyzing unit that analyzes a state of an epithelium, captured by the endoscope, using the target image when the image is the target image. | 2022-09-15 |
20220292672 | PHYSICAL MEDICAL ELEMENT SIZING SYSTEMS AND METHODS - An exemplary system is configured to instruct a display device to render a virtual medical element representative of a physical medical element over a target region within an image of an internal space of a patient, the target region depicting an anatomical surface to be covered by the physical medical element; receive, while the virtual medical element is rendered over the target region, user input that sets at least one of a pose of the virtual medical element within the image or a size of the virtual medical element; and determine, based on the user input and on depth data representative of a depth map for the internal space, physical dimensions for the physical medical element. | 2022-09-15 |
20220292673 | On-Site training of a machine-learning algorithm for generating synthetic imaging data - Techniques of training an image-synthesis ML algorithm are disclosed. The image-synthesis ML algorithm can be used to generate synthetic imaging data. The synthetic imaging data can be used, in turn, to train a further ML algorithm. The further ML algorithm may be configured to perform image-processing tasks on the respective imaging data. | 2022-09-15 |
20220292674 | SYSTEMS AND METHODS FOR DEEP ORTHOGONAL FUSION FOR MULTIMODAL PROGNOSTIC BIOMARKER DISCOVERY - A system and method are provided for identifying a multimodal biomarker of a prognostic prediction, using a deep learning framework trained to analyze different modality data, including radiomic image data, pathology image data, and molecular image data to obtain unimodal embedding predictions from those modality data and generate multimodal embedding predictions, through application of a loss minimization and attention-based fusion processes. | 2022-09-15 |
20220292675 | BI-DIRECTIONAL QUANTUM ANNEALING IN MARKOV RANDOM FIELDS FOR MACHINE LEARNING IN IMAGE ANALYSIS - Methods, systems, and apparatus for a bi-directional quantum annealing approach to Markov random field networks for machine learning in image analysis. In one aspect, a method includes obtaining training data comprising features extracted from a first set of images; training a deep quantum restricted Boltzmann machine (QRBM) comprising multiple layers using the training data, the training comprising layer-wise training of the multiple layers, wherein training each layer of the multiple layers comprises evaluating a restricted Boltzmann machine (RBM) probability distribution using bi-directional quantum annealing; and validating the trained deep QRBM using test data comprising features extracted from a second set of images. | 2022-09-15 |
20220292676 | SYSTEM AND METHOD FOR AUTOMATED GAMETE SELECTION - In variants, a method for automated gamete selection can include: sampling a video of a scene having a plurality of gametes, tracking each gamete across successive images, and determining attribute values for a gamete, and selecting the gamete. The attribute values can be determined using a model trained to predict the attribute values for the gamete based on a video. | 2022-09-15 |
20220292677 | FLUORESCENCE-BASED DETECTION OF PROBLEMATIC CELLULAR ENTITIES - Techniques are for detecting presence of a problematic cellular entity in a target. In an example, using an analysis model, a fluorescence-based image is analyzed. The analysis model is trained using a number of reference fluorescence-based images for detecting the presence of problematic cellular entities in targets. Based on the analysis, a problematic cellular entity present in the target is detected. To perform the detection, the analysis model is trained to differentiate between the fluorescence in the fluorescence-based image emerging from the problematic cellular entity and the fluorescence in the fluorescence-based image emerging from regions other than the problematic cellular entity. | 2022-09-15 |
20220292678 | PRODUCING PANORAMIC RADIOGRAPH - The disclosure is related to a panoramic radiography device. The panoramic radiography device may include an image processor and a viewer module. The image processor may be configured to produce a primary panoramic image using a first image layer and a secondary panoramic image using a secondary image layer based on a plurality of image frame data, wherein the second image layer is different from the first image layer in at least one of a number, a position, a shape, an angle, and a thickness. The viewer module may be configured to i) provide a graphic user interface having a primary display area and a secondary display area arranged at a predetermined position of the primary display area, ii) display the primary panoramic image at the primary display area, and iii) display a part of the secondary panoramic image at the secondary display area, wherein the part of the secondary panoramic image corresponds to the predetermined position. | 2022-09-15 |
20220292679 | SYSTEMS AND METHODS OF PROCESSING MAGNETIC RESONANCE IMAGES USING PHASE-SENSITIVE STRUCTURAL SIMILARITY INDEX MEASURE - A computer-implemented method of processing complex magnetic resonance (MR) images is provided. The method includes receiving a pair of corrupted complex data and pristine complex images. The method also includes training a neural network model using the pair by inputting the corrupted complex data to the neural network model, setting the pristine complex images as target outputs, and processing the corrupted complex data using the neural network model to derive output complex images of the corrupted complex data. Training a neural network model also includes comparing the output complex images with the target outputs by computing a phase-sensitive structural similarity index measure (PS-SSIM) between each of the output complex images and its corresponding target complex image, wherein the PS-SSIM is real-valued and varies with phases of the output complex image and phases of the target complex image, and adjusting the neural network model based on the comparison. | 2022-09-15 |
20220292680 | IMAGE PROCESSING APPARATUS FOR EVALUATING CARDIAC IMAGES AND VENTRICULAR STATUS IDENTIFICATION METHOD - An image processing apparatus for evaluating cardiac images and a ventricular status identification method are provided. In the method, a region of interest (ROI) is determined from multiple target images, a variation in grayscale values of multiple pixels in the ROIs of each target image is determined, and one or more representative images are obtained according to the variation in the grayscale values. The target image is related to the pixels within an endocardial contour of a left ventricle. A boundary of the ROI is approximately located at two sides of a bottom of the endocardial contour. The ROI corresponds to a mitral valve. The variation in the grayscale values is related to a motion of the mitral valve. The representative image is for evaluating a status of the left ventricle. | 2022-09-15 |
20220292681 | FAST WHOLE SLIDE TISSUE TILING METHOD - The present application relates generally to image tiling, including but not limited to systems and methods of fast whole slide tissue tiling. A computing system may identify a first image of a first dimension from which to select one or more tiles. The computing system may perform a reduction operation on the first image to generate a second image of a second dimension. The computing system may apply a thresholding operation on the second image to identify a first set of pixels corresponding to the presence of the feature and a second set of pixels corresponding to the absence of the feature based on an intensity of each pixel in the second image. The computing system may select, from a plurality of tiles corresponding to the first image, a subset of tiles corresponding to the first set of pixels identified from the second image. | 2022-09-15 |
20220292682 | SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC MEDICAL IMAGES TO DETERMINE ENHANCED ELECTRONIC MEDICAL IMAGES - Systems and methods for processing electronic images from a medical device comprise receiving a first image frame and a second image frame from a medical device, and determining a region of interest by subtracting the first image frame from the second image frame, the region of interest corresponding to a visual obstruction in the first image frame and/or second image frame. Image processing may be applied to the first image frame and/or second image frame based on a comparison between a first area of the first image frame corresponding to the region of interest and a second area of the second image frame corresponding to the region of interest, and the first image frame and/or second image frame may be provided for display to a user. | 2022-09-15 |
20220292683 | LIVER FIBROSIS RECOGNITION METHOD BASED ON MEDICAL IMAGES AND COMPUTING DEVICE USING THEREOF - A liver fibrosis recognition method based on medical images and a computing device using thereof obtains a plurality of first binary images by segmenting a region of interest in each of a plurality of medical images of a liver. A rectangular region is created for each first binary image, and a plurality of second binary images is obtained by generating a second binary according to each rectangular region and the first binary image. A feature map is obtained from each liver medical image and images are generated according to the second binary images and corresponding to the plurality of feature maps. A model for recognition is iteratively trained based on the plurality of final images and recognition of liver fibrosis in patients is then achievable using the model. | 2022-09-15 |
20220292684 | GENERATING REFINED SEGMENTATIONS MASKS VIA METICULOUS OBJECT SEGMENTATION - The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilizes a neural network having a hierarchy of hierarchical point-wise refining blocks to generate refined segmentation masks for high-resolution digital visual media items. For example, in one or more embodiments, the disclosed systems utilize a segmentation refinement neural network having an encoder and a recursive decoder to generate the refined segmentation masks. The recursive decoder includes a deconvolution branch for generating feature maps and a refinement branch for generating and refining segmentation masks. In particular, in some cases, the refinement branch includes a hierarchy of hierarchical point-wise refining blocks that recursively refine a segmentation mask generated for a digital visual media item. In some cases, the disclosed systems utilize a segmentation refinement neural network that includes a low-resolution network and a high-resolution network, each including an encoder and a recursive decoder, to generate the refined segmentation masks. | 2022-09-15 |
20220292685 | METHODS AND SYSTEMS FOR SEMANTIC AUGMENTATION OF IMAGES - Methods and systems for generating a semantically augmented image are disclosed. An embedding is generated for each object label associated with a segmented input image. For each embedding associated with a respective object label, a similarity score is computed between the embedding associated with the object label and an embedding representing an object class in an object bank storing a plurality of object images. At least one object is selected, the selected object being associated with a respective object image in the object bank, the selected at least one object being from an identified object class that is identified as contextually relevant to at least one object label associated with the segmented input image, based at least on the similarity score. The selected object is added into the segmented input image to generate the augmented image. | 2022-09-15 |
20220292686 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM STORING PROGRAM - An image processing apparatus comprises: a image capturing unit configured to capture an image including a region corresponding to an inside of a vehicle and a region corresponding to an outside of the vehicle; an acquisition unit configured to acquire a plurality of images captured by the image capturing unit at predetermined time intervals; a generation unit configured to generate a mask filter for masking the region corresponding to the inside of the vehicle in the image captured by the image capturing unit based on an amount of change in the plurality of images acquired by the acquisition unit; and a storage unit configured to store the mask filter generated by the generation unit. | 2022-09-15 |
20220292687 | CONTOUR EXTRACTION DEVICE, CONTOUR EXTRACTION METHOD, AND CONTOUR EXTRACTION PROGRAM - A contour extraction device propagates a contour of a region of interest of a first tomographic image in a direction from the first tomographic image to a second tomographic image to extract first contours of the regions of interest of tomographic images between the first tomographic image and the second tomographic image, and propagates a contour of the region of interest of the second tomographic image in a direction from the second tomographic image to the first tomographic image to extract second contours of the regions of interest of tomographic images between the first tomographic image and the second tomographic image, and outputs a correction instruction for a contour in a third tomographic image between the first tomographic image and the second tomographic image in a case where a difference between the first contours and the second contours in the third tomographic image is a threshold value or more. | 2022-09-15 |
20220292688 | DEEP LEARNING BASED IMAGE SEGMENTATION METHOD INCLUDING BIODEGRADABLE STENT IN INTRAVASCULAR OPTICAL TOMOGRAPHY IMAGE - Disclosed is an image segmentation device. The image segmentation device may include: a storage unit storing a segmentation model learned so as to segment at least one predetermined object; and at least one processor inputting input data into the segmentation model and segmenting at least one predetermined object in the input data, in which the segmentation model may include an encoder including at least one dimension reduction block reducing a dimension of the input data, a decoder including at least one dimension increase block increasing the dimension of output data output from the encoder by using data output from at least one dimension reduction block, and an auxiliary classification model receiving the output data and recognizing whether a specific object is included in the output data. | 2022-09-15 |
20220292689 | PDAC IMAGE SEGMENTATION METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM - A Pancreatic Ductal Adenocarcinoma (PDAC) image segmentation method, an electronic device, and a storage medium are provided. In the PDAC image segmentation method, a first model is trained using a first data set; and a second model is trained using a second data set. A third data set is obtained by annotating a to-be-annotated data set using the first model and the second model and a third model is trained using a fourth data set. A training set is obtained by modifying the first data set and the third data set using the third model and a segmentation model is obtained by training an nnUNet using the training set. A to-be-segmented PDAC image is input into the segmentation model, and a segmentation result is obtained. By utilizing the PDAC image segmentation method, a more accurate PDAC image segmentation is achieved. | 2022-09-15 |
20220292690 | DATA GENERATION METHOD, DATA GENERATION APPARATUS, MODEL GENERATION METHOD, MODEL GENERATION APPARATUS, AND PROGRAM - A data generation method includes generating, by at least one processor, an output image by using a first image, a first segmentation map, and a first neural network, the first segmentation map being layered. | 2022-09-15 |
20220292691 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - A generation unit generates a background separation image in which regions of a captured image are classified as a foreground region, a background region, and an unknown region, based on distance distribution information obtained from a plurality of parallax images. An output unit outputs the captured image and the background separation image. A region in which a distance in the distance distribution information is within a first range is classified as the foreground region. A region in which a distance in the distance distribution information is outside a second range broader than the first range is classified as the background region. A region in which a distance in the distance distribution information is outside the first range and inside the second range is classified as the unknown region. | 2022-09-15 |
20220292692 | IMAGE PROCESSING APPARATUS AND METHOD OF PROCESSING IMAGE - An image processing apparatus performs subject tracking by pattern matching using a template that is based on a set tracking target region. The apparatus performs the template matching by setting one of first and second region as a new tracking target region. Wherein the first region is detected by template matching and the second region corresponds to a previously set tracking target region. | 2022-09-15 |
20220292693 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing device includes a region identifying section that identifies a first region in which a first motion occurs in a subject in an image captured by synchronous scanning, and a second region in which a second motion different from the first motion occurs in the subject or in which the subject is not substantially moving, on the basis of an event signal generated in response to a change in intensity of light in one or a plurality of pixels of the image, and an image processing section that executes image processing different between the first region and the second region on the first region and the second region, in the image. | 2022-09-15 |
20220292694 | INFORMATION PROCESSING APPARATUS, METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM - According to one embodiment, an information processing apparatus includes processing circuitry. The processing circuitry acquires image data on a predetermined photographed area, generates part movement information on a plurality of parts of an object included in the image data, based on the image data, acquires sensor data from the object, generates sensor operation information on an operation of a sensor, based on the sensor data, and specifies a relationship between the object included in the image data and the sensor, based on the part movement information and the sensor operation information. | 2022-09-15 |
20220292695 | MONITORING SYSTEM AND METHOD FOR IDENTIFYING AN OBJECT OF INTEREST AFTER THE OBJECT OF INTEREST HAS UNDERGONE A CHANGE IN APPEARANCE - Monitoring system and method for identifying object of interest after the object of interest has undergone a change in appearance. The method includes detecting an appearance of a first object of interest in a first zone and determining whether the first object of interest has appeared in a second zone adjacent the first zone within a predetermined time. When the first object of interest has not appeared in the second zone within the predetermined time, the method includes adding the first object of interest to a disappearance database and detecting an unexplained appearance of a second object of interest in a third zone of the plurality of zones. When an unexplained appearance of the second object of interest is detected, the method includes adding the second object of interest to a suspect database, and generating a notification for a first responder regarding the second object of interest. | 2022-09-15 |
20220292696 | PHOTOGRAPHING METHOD AND ELECTRONIC DEVICE - A photographing method and an electronic device are provided. The photographing method includes: receiving a first input that is performed on a target position in a first preview picture collected by a first camera, and determining a movement speed of a target object according to a plurality of second preview pictures collected by a second camera. The photographing method further includes determining, according to the movement speed, a target time at which the target object moves into a target region. The target region is a region corresponding to the target position. The photographing method also includes controlling the first camera to perform photographing at the target time. A position of the target object in each of the second preview pictures is different, and there is an overlapping picture between the first preview picture and each of the second preview pictures. | 2022-09-15 |
20220292697 | DENSE FEATURE SCALE DETECTION FOR IMAGE MATCHING - Dense feature scale detection can be implemented using multiple convolutional neural networks trained on scale data to more accurately and efficiently match pixels between images. An input image can be used to generate multiple scaled images. The multiple scaled images are input into a feature net, which outputs feature data for the multiple scaled images. An attention net is used to generate an attention map from the input image. The attention map assigns emphasis as a soft distribution to different scales based on texture analysis. The feature data and the attention data can be combined through a multiplication process and then summed to generate dense features for comparison. | 2022-09-15 |
20220292698 | Network and System for Pose and Size Estimation - A network for category-level 6D pose and size estimation, including a 3D-OCR module for 3D Orientation-Consistent Representation, a GeoReS module for Geometry-constrained Reflection Symmetry, and a MPDE module for Mirror-Paired Dimensional Estimation; wherein the 3D-OCR module and the GeoReS module are incorporated in parallel; the 3D-OCR module receives a canonical template shape including canonical category-specific keypoints; the GeoReS module receives an original input depth observation including pre-processed predicted category labels and potential masks of the target instances; the MPDE module receives the output from the GeoReS module as well as the original input depth observation; and the network outputs the estimation results based on the output of the MPDE module, the output of the 3D-OCR module, as well as the canonical template shape. Also provided are corresponding systems and methods. | 2022-09-15 |
20220292699 | MACHINE LEARNING TECHNIQUES FOR PREDICTING DEPTH INFORMATION IN IMAGE DATA - Apparatuses, systems, and techniques to estimate or predict depth information for image data. In at least one embodiment, depth information is predicted based at least in part on color information and geometry information associated with an image. | 2022-09-15 |
20220292700 | MULTI-COLOR FLASH WITH IMAGE POST-PROCESSING - Multi-color flash with image post-processing that uses a camera device with a multi-color flash and implements post-processing to generate images is described. In one aspect, the multi-color flash with image post-processing may be implemented by a controller configured to control a camera and flashes of at least two different colors. The controller may be configured to cause the camera to acquire a first image of a scene while the scene is being illuminated with the first flash but not the second flash, then cause the camera to acquire a second image of the scene while the scene is being illuminated with the second flash but not the first flash, and generate a final image of the scene in post-processing based on a combination of the first image and the second image. | 2022-09-15 |
20220292701 | UNSUPERVISED LEARNING OF IMAGE DEPTH AND EGO-MOTION PREDICTION NEURAL NETWORKS - A system includes a neural network implemented by one or more computers, in which the neural network includes an image depth prediction neural network and a camera motion estimation neural network. The neural network is configured to receive a sequence of images. The neural network is configured to process each image in the sequence of images using the image depth prediction neural network to generate, for each image, a respective depth output that characterizes a depth of the image, and to process a subset of images in the sequence of images using the camera motion estimation neural network to generate a camera motion output that characterizes the motion of a camera between the images in the subset. The image depth prediction neural network and the camera motion estimation neural network have been jointly trained using an unsupervised learning technique. | 2022-09-15 |
20220292702 | IMAGE PROCESSOR, IMAGING DEVICE, ROBOT AND ROBOT SYSTEM - An image processor includes memory configured to store the shape of an object, extracting circuitry configured to extract a second image of a target range from a first image of the object, distance detecting circuitry configured to process the second image to detect distances from at least three parts projected within the target range to the camera, plane estimating circuitry configured to estimate a plane projected within the target range using the distances based on the at least three parts, angle detecting circuitry configured to detect an angle of the plane with respect to an optical axis of the camera, contour estimating circuitry configured to estimate, based on the shape of the object and the angle of the plane, a contour of the object projected on the first image, and identifying circuitry configured to identify the object on the first image based on the contour. | 2022-09-15 |
20220292703 | IMAGE PROCESSING DEVICE, THREE-DIMENSIONAL MEASUREMENT SYSTEM, AND IMAGE PROCESSING METHOD - An image processor includes a map generator that generates a map being data including pixels each associated with depth-related information using an image captured with patterned light projected onto a target object, an edge detector that detects an edge of the target object using an image captured without patterned light projected onto the target object, and a corrector that corrects the map based on the detected edge to cause a discontinuous depth position to match a position of the edge of the target object. | 2022-09-15 |
20220292704 | Stereoscopy Method and Stereoscopy Apparatus - Stereoscopy in which at least one image of a scene is recorded from a first viewing angle, and at least one image of the scene is recorded from a second viewing angle. The scene is recorded multiple times from the first viewing angle. A first combination image is obtained from the various images recorded from the first viewing angle, said combination image according to the stipulation of a comparison algorithm having smaller differences in relation to at least one image also recorded from the second viewing angle or smaller differences in relation to a second combination image obtained from the images from the second viewing angle than each individual image recorded from the first viewing angle. An image of the scene with the depth information is obtained from the first combination image and at least one image from the second viewing angle or the second combination image. | 2022-09-15 |
20220292705 | SYSTEMS, DEVICES AND METHODS FOR MEASURING THE MASS OF OBJECTS IN A VEHICLE - There are provided methods and systems for estimating the mass of one or more occupants in a vehicle cabin comprising obtaining multiple images of the one or more occupants, comprising a sequence of 2D (two dimensional) images and 3D (three dimensional) images of the vehicle cabin captured by an image sensor, applying a pose detection algorithm on each of the obtained sequences of 2D images to yield one or more skeleton representations of said one or more occupants and combining the one or more 3D images of said sequence of 3D images with said one or more skeleton representations of said one or more occupants to yield skeleton models and analyze the skeleton models to extract one or more features of each of the one or more occupants and further process the one or more extracted features of the skeleton models to estimate the mass of the one or more occupants. | 2022-09-15 |
20220292706 | OBJECT NUMBER ESTIMATION DEVICE, CONTROL METHOD, AND PROGRAM - An object count estimation apparatus ( | 2022-09-15 |
20220292707 | ESTIMATION DEVICE, LEARNING DEVICE, CONTROL METHOD AND STORAGE MEDIUM - An estimation device | 2022-09-15 |
20220292708 | INFORMATION PROCESSING DEVICE, SETTING APPARATUS, IMAGE RECOGNITION SYSTEM, ROBOT SYSTEM, SETTING METHOD, LEARNING DEVICE, AND METHOD OF GENERATING LEARNED MODEL - An information processing device includes position detecting circuitry configured to detect a commanded position that is a position of an object commanded on a screen where the object is projected, size detecting circuitry configured to detect a commanded size that is a size of the object commanded on the screen, positional information detecting circuitry configured to detect a position of an actual object based on the commanded position, size information detecting circuitry configured to detect a size of the actual object based on the commanded size, index processing circuitry configured to generate a position index indicative of the commanded position and a size index indicative of the size of the actual object, and display the position index and the size index on the screen, and output circuitry configured to output object information including information on the position and the size of the actual object. | 2022-09-15 |
20220292709 | METHOD AND APPARATUS FOR CALCULATING POSITION OF DART PIN - A method for calculating a position of a dart pin attached to a dart board divided into a plurality of segments in an apparatus for calculating a position of a dart pin is provided. The method includes obtaining a plurality of optical data from a plurality of optical devices corresponding to at least one of a plurality of holes formed in each segment and installed on the rear surface of the dart board; and calculating a position of a dart pin attached to the dart board using the plurality of optical data. | 2022-09-15 |
20220292710 | SYSTEM AND METHOD OF DETECTING AT LEAST ONE OBJECT DEPICTED IN AN IMAGE - A method and system for detecting at least one object depicted in an image may include: receiving an input vector IN, comprising a plurality of location data elements, each representing a location of at least a portion of the at least one depicted object, calculating a 2-dimensional (2D) relation matrix REL_2D, where each entry represents a value of a relation operator, between location data elements i, and j; calculating a 2D mask matrix MASK_2D, where each entry is ‘1’ if the confidence of location data element i is greater than the confidence of location data element j, and ‘0’ otherwise; calculating a penalty vector PEN, based on REL_2D and MASK_2D; elementwise multiplying the confidence levels of vector IN and vector PEN, to produce a selection vector SEL; and selecting at least one location data element based on vector SEL as representing the location of the at least one depicted object. | 2022-09-15 |
20220292711 | POSE ESTIMATION METHOD AND DEVICE, RELATED EQUIPMENT AND STORAGE MEDIUM - The present application discloses a pose estimation method and device, related equipment and a storage medium. In the pose estimation method, a visual observation model constraint is constructed according to images, a motion model constraint is constructed according to inertial data, and a pose of a camera, an inertial measurement unit or an object that corresponds to the time of each image is calculated according to the visual observation model constraint and the motion model constraint. The pose estimation method adopts a fusion model of the visual observation model constraint and the motion model constraint to improve the accuracy, stability and robustness of pose estimation in a complex scene. | 2022-09-15 |
20220292712 | SYSTEMS AND METHODS FOR DETERMINING ENVIRONMENT DIMENSIONS BASED ON LANDMARK DETECTION - Disclosed herein are systems and method for determining environment dimensions based on landmark detection, the method including: training, with a dataset including a plurality of images featuring an environment and labelled landmarks in the environment, a neural network to identify the labelled landmarks in an arbitrary image of the environment; receiving an input image depicting the environment; generating an input tensor based on the received input image; inputting the input tensor into the neural network, wherein the neural network is configured to generate an output tensor including a position of each identified landmark and a visibility score associated with each position; calculating a homography matrix between each position in the output tensor along a camera plane and a corresponding position in an environment plane, based on a pre-built model of the environment; and outputting an image that visually connects each landmark along the environment plane based on the homography matrix. | 2022-09-15 |
20220292713 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - An information processing apparatus includes a first selection unit configured to select at least one map element from first three-dimensional map information including map elements each including a position and orientation of an image capturing apparatus mounted on a mobile object and three-dimensional positional information in an environment about a feature point included in an image of the environment captured by the image capturing apparatus, a second selection unit configured to select a map element including a feature point with three-dimensional positional information within a predetermined distance from a position indicated by the three-dimensional positional information about a feature point included in the map element selected by the first selection unit from map elements in second three-dimensional map information preliminarily created for the environment, and an association unit configured to associate the map element selected by the first selection unit with the map element selected by the second selection unit. | 2022-09-15 |
20220292714 | METHOD AND SYSTEM FOR MONOCULAR DEPTH ESTIMATION OF PERSONS - Systems and methods are provided for estimating the 3D joint location of skeleton joints from an image segment of an object and a 2D joint heatmaps comprising 2D locations of skeleton joints on the image segment. This includes applying the image segment and 2D joint heatmaps to a convolutional neural network containing at least one 3D convolutional layer block, wherein the 2D resolution is reduced at each 3D convolutional layer and the depth resolution is expanded to produce an estimated depth for each joint. Combining the 2D location of each kind of joint with the estimated depth of the kind of joint generates an estimated 3D joint position of the skeleton joint. | 2022-09-15 |
20220292715 | METHOD AND APPARATUS FOR ESTIMATING POSE OF DEVICE - The present disclosure relates to the field of artificial intelligence technology, and to a method of estimating a pose of a device and a related device. The method of estimating a pose of a device includes identifying a similar key frame that is similar to a current frame collected by the device from a key frame set, based on a vector distance between the similar key frame and the current frame; obtaining data-related information between image frames based on a feature matching relationship between the current frame and the similar key frame; and obtaining the pose of the device based on the data-related information. | 2022-09-15 |
20220292716 | TECHNOLOGIES FOR DETECTING CROP MARKS IN ELECTRONIC DOCUMENTS USING REFERENCE IMAGES - Systems and methods for detecting crop marks depicted in digital images are disclosed. According to certain aspects, an electronic device detects a set of crop marks in a reference digital image and aligns the reference digital image with an input digital image. Based on locations of the detected crop marks as aligned to the input digital image, the electronic device detects a set of partial crop marks in the input digital image. As a result, the partial crop marks in the input digital image may be removed. | 2022-09-15 |
20220292717 | 3D Object Detection Using Random Forests - Example embodiments allow for fast, efficient detection and pose estimation of objects based on point clouds, depth images/maps, or other depth information about a scene that may contain the objects. Embodiments include translating and rotating the depth image to bring individual points of the depth image to a standard orientation and location so as to improve performance when an object is near the periphery of the field of view. Some disclosed embodiments include applying a random forest to perform pose estimation. By using the decision trees or other fast methods, it can be advantageous to perform pose estimation a plurality of times prior to identifying whether a particular object is actually present in a scene. Prospective pose estimates can be combined with models of the objects in order to evaluate whether the object is present in the scene. | 2022-09-15 |
20220292718 | FIDUCIAL MARKER BASED FIELD CALIBRATION OF A DEVICE - A computer-implemented method of field calibrating a device is disclosed. In one example, a reference image is acquired, via an infrared camera, while the device is in a factory-calibrated state. The reference image measures a factory-calibrated spatial relationship of one or more infrared-visible fiducial markers of the device relative to the infrared camera while the device is in the factory-calibrated state. Later, a field image is acquired, via the infrared camera. The field image measures an updated spatial relationship of the one or more infrared-visible fiducial markers relative to the infrared camera. The device is field calibrated based on the reference image and the field image. | 2022-09-15 |
20220292719 | METHOD AND APPARATUS FOR IMAGING CALIBRATION, AND DUAL-LIGHT CAMERA - Embodiments of the present invention discloses an imaging calibration method and apparatus for a dual-light camera and a dual-light camera. A thermal imaging image including a first calibration frame image and a visible light image including a second calibration frame image are acquired. The first calibration frame image and the second calibration frame image are images of a same calibration frame respectively photographed by a thermal imaging camera and a visible light camera. First position information of the first calibration frame image in the thermal imaging image and second position information of the second calibration frame in the visible light image are acquired. Calibration parameters are generated according to the first position information and the second position information. A position of the thermal imaging image synthesized in the visible light image in the visible light image is adjusted according to the calibration parameters. | 2022-09-15 |
20220292720 | METHOD AND SYSTEM FOR CALIBRATING MULTIPLE CAMERAS - The invention relates to a method for calibrating cameras. In particular, the invention provides a method that estimates the position of interest points such as corners on images of array patterns, and uses such refined positions in an iterative calibration algorithm. The method can be extended to simultaneously process information from a large number of images from a plurality of cameras that are arranged in a fixed position on a mobile robot, wherein the images are representative of different camera poses. The optimization thereby provides a highly accurate estimate of camera calibration parameters. | 2022-09-15 |
20220292721 | IMAGING METHOD, IMAGING APPARATUS, POSITIONAL DEVIATION AMOUNT CALCULATION METHOD AND RECORDING MEDIUM - An imaging method according to the invention includes storing image data corresponding to an original image in a memory every time one original image is obtained and calculating positional deviation amounts between the original images. For each of the original images, an object image number indicating the number of calculation object images serving as calculation objects for the positional deviation amount, is set based on a positional relationship of the imaging fields of view. The image data corresponding to a particular image is released from the memory. The particular image is an original image of which a number of the calculation object images already used to calculate the positional deviation amount between this particular image increased to the object image number. | 2022-09-15 |
20220292722 | OCCUPANCY MAP BLOCK-TO-PATCH INFORMATION COMPRESSION - A system comprises an encoder configured to compress attribute information and/or spatial information for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. The encoder is configured to convert a point cloud into an image based representation. The encoder packs patch images into an image frame and fills empty spaces in the image frame with a padding. Various compression strategies may be used to encode an occupancy map and related block-to-patch information indicating which portions of the image frame correspond to which packed patches. Packed image frames comprising patches and padding, along with an encoded occupancy map and related block-to-patch information are sent to a decoder. The decoder is configured to generate a decompressed point cloud based on the packed image frames, compressed occupancy map, and related block-to-patch information. | 2022-09-15 |
20220292723 | ATTRIBUTE INFORMATION PREDICTION METHOD, ENCODER, DECODER AND STORAGE MEDIUM - Provided is a method for predicting attribute information, a coder, a decoder, and a storage medium. The coder determines a current Morton code corresponding to a point to be predicted in a point cloud to be coded, determines a target Morton code corresponding to the point to be predicted based on the current Morton code and according to a preset neighbor information table, judges whether a neighbor point of the point to be predicted exists in the point cloud to be coded according to the target Morton code, and performs prediction to obtain a predicted attribute value of the point to be predicted according to attribute reconstruction information of the neighbor point in response to that the neighbor point exists in the point cloud to be coded. | 2022-09-15 |