24th week of 2022 patent applcation highlights part 60 |
Patent application number | Title | Published |
20220189108 | MECHANISM FOR IMPROVED LIGHT ESTIMATION - Techniques and systems are provided for light estimation. In some examples, a system receives a plurality of frames associated with a scene. The plurality of frames includes a first frame and a second frame occurring after the first frame. The system determines, based on image data of the first frame, a first light estimate associated with the scene. The system also determines, based on image data of the second frame, a second light estimate associated with the scene. The system further generates an aggregate light estimate associated with the scene based on combining the second light estimate with at least the first light estimate. | 2022-06-16 |
20220189109 | ADAPTIVE TEMPORAL IMAGE FILTERING FOR RENDERING REALISTIC ILLUMINATION - Robust temporal gradients, representing differences in shading results, can be computed between current and previous frames in a temporal denoiser for ray-traced renderers. Backward projection can be used to locate matching surfaces, with the relevant parameters of those surfaces being carried forward and used for patching. Backward projection can be performed for each stratum in a current frame, a stratum representing a set of adjacent pixels. A pixel from each stratum is selected that has a matching surface in the previous frame, using motion vectors generated during the rendering process. A comparison of the depth of the normals, or the visibility buffer data, can be used to determine whether a given surface is the same in the current frame and the previous frame, and if so then parameters of the surface from the previous frame G-buffer is used to patch the G-buffer for the current frame. | 2022-06-16 |
20220189110 | SYSTEM AND METHOD FOR ADAPTIVELY CONSTRUCTING A THREE-DIMENSIONAL FACIAL MODEL BASED ON TWO OR MORE INPUTS OF A TWO-DIMENSIONAL FACIAL IMAGE - A system and a method for adaptively constructing a three-dimensional (3D) facial model based on two or more inputs of a two-dimensional (2D) facial image are disclosed. The server includes at least one processor and at least one memory including computer program code. The at least one memory and the computer program code are configured to, with the at least one processor, cause the server at least to receive, from an input capturing device, the two or more inputs of the 2D facial image, the two or more inputs being captured at different distances from the image capturing device, determine depth information relating to at least a point of each of the two or more inputs of the 2D facial image and construct the 3D facial model in response to the determination of the depth information. | 2022-06-16 |
20220189111 | METHOD FOR THE AUTOMATIC MATERIAL CLASSIFICATION AND TEXTURE SIMULATION FOR 3D MODELS - Methods and systems are disclosed for creating a computerized 3D model to include material property information for one or more regions of image textures of the computerized 3D model, including a method comprising: creating a computerized 3D model having image textures; examining a portion of a first image texture of the computerized 3D model having unknown material properties; assigning a material having a material property to the portion of the first image texture to indicate a physical material of a physical object represented by the portion of the first image texture, the material property having material property information about the physical materials; associating the material property information with the portion of the first image texture; and replacing the portion of the first image texture in the 3D model with a simulated texture of the assigned material. | 2022-06-16 |
20220189112 | THROTTLING HULL SHADERS BASED ON TESSELLATION FACTORS IN A GRAPHICS PIPELINE - A processing system includes hull shader circuitry that launches thread groups including one or more primitives. The hull shader circuitry also generates tessellation factors that indicate subdivisions of the primitives. The processing system also includes throttling circuitry that estimates a primitive launch time interval for the domain shader based on the tessellation factors and selectively throttles launching of the thread groups from the hull shader circuitry based on the primitive launch time interval of the domain shader and a hull shader latency. In some cases, the throttling circuitry includes a first counter that is incremented in response to launching a thread group from the buffer and a second counter that modifies the first counter based on a measured latency of the domain shader. | 2022-06-16 |
20220189113 | METHOD FOR GENERATING 3D SKELETON USING JOINT-BASED CALIBRATION ACQUIRED FROM MULTI-VIEW CAMERA - Proposed is a three-dimensional skeleton generation method using calibration based on a joint acquired from a multiview camera, capable of extracting a partial skeleton of each viewpoint from a distributed RGB-D camera, calculating a camera parameter by using a joint of each partial skeleton as a feature point, and integrating each partial skeleton into a three-dimensional skeleton based on the parameter. The three-dimensional skeleton generation method includes: (a) acquiring a multiview color-depth video; (b) generating a three-dimensional skeleton of each viewpoint from a color-depth video of each viewpoint, and generating a joint of the skeleton of each viewpoint as a feature point; (c) performing extrinsic calibration for optimizing an extrinsic parameter by using the joint of the skeleton of each viewpoint; and (d) aligning and integrating the three-dimensional skeleton of each viewpoint by using the extrinsic parameter. | 2022-06-16 |
20220189114 | CONSTRAINED BSDF SAMPLING - Systems and methods are provided to perform constrained BSDF sampling in relation to various algorithms, and specifically in relation to ray tracing algorithms. In some embodiments, a method is provided to generate samples by: determining a spherical polygon on a unit hemisphere; determining, on a unit circle, a projected area corresponding to the spherical polygon on the unit hemisphere; determining a parameterization of the projected area of the spherical polygon on the unit circle; generating samples in the projected area based on the parameterization; and generating samples in the spherical polygon. The unit circle is abase of the unit hemisphere, and the projection of the projected area is along a vector perpendicular to the unit circle. The generated samples in the spherical polygon correspond to the samples in the projected area. The method may further include evaluating a rendering equation based on the generated samples in the spherical polygon. | 2022-06-16 |
20220189115 | METHOD OF FUSING MESH SEQUENCES WITHIN VOLUMETRIC VIDEO - A computer-implemented method of smoothing a transition between two mesh sequences to be rendered successively comprises steps of: (a) providing first and second mesh sequences {1} and {2} formed mesh frames, respectively, to be fused into a fused sequence; (b) selecting mesh frames g | 2022-06-16 |
20220189116 | SCENE REPRESENTATION USING IMAGE PROCESSING - An image processing system configured to obtain a mesh representation of a scene, wherein the mesh representation comprises a plurality of polygons defined by respective vertices associated with an in-plane position, the in-plane position being in a plane comprising a first dimension and a second dimension, and the vertices having an associated vertex depth value in a third dimension different from the first dimension and the second dimension. The image processing system comprises an in-plane position estimation network configured to process image data representative of an image of the scene to estimate the in-plane positions associated with respective vertices of the mesh representation. The image processing system further comprises a depth estimation engine configured to process the in-plane positions and the image data to estimate the associated vertex depth values for the respective vertices of the mesh representation. | 2022-06-16 |
20220189117 | ESTIMATING A CONDITION OF A PHYSICAL STRUCTURE - In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). Data collected by the UAV corresponding to points on a surface of a structure is received and a 3D point cloud is generated for the structure, where the 3D point cloud is generated based at least in part on the received UAV data. A 3D model of the surface of the structure is reconstructed using the 3D point cloud. | 2022-06-16 |
20220189118 | CAPTURE OF RAW AUGMENTED REALITY DATA AND SUBSEQUENT 3D MESH GENERATION - Embodiments include systems and methods for generating a 3D mesh from a video stream or other image captured contemporaneously with AR data. The AR data is used to create a depth map, which is then fused with images from frames of the video to form a full 3D mesh. The images and depth map can also be used with an object detection algorithm to recognize 3D objects within the 3D mesh. Methods for fingerprinting the video with AR data captured contemporaneously with each frame are disclosed. | 2022-06-16 |
20220189119 | SKELETON-BASED DYNAMIC POINT CLOUD ESTIMATION SYSTEM FOR SEQUENCE COMPRESSION - Disclosed is a skeleton-based dynamic point cloud estimation system for sequence compression, capable of generating a three-dimensional skeleton and a motion vector thereof from a group of point cloud frames to estimate a point cloud of a next frame, and compressing a point cloud sequence by obtaining a residual between the estimated point cloud and an original point cloud. Since the point cloud is estimated by using the motion vector of the skeleton, and the sequence is compressed by using a difference from an original value as the residual, an amount of point clouds to be input to a compressor is significantly reduced, so that compression efficiency is improved. | 2022-06-16 |
20220189120 | ROUTE RECOMMENDATION THAT ASSISTS A USER WITH NAVIGATING AND INTERPRETING A VIRTUAL REALITY ENVIRONMENT - Embodiments of the invention are directed to a computer-implemented method of generating a pathway recommendation. The computer-implemented method includes using a processor system to generate an intermediate three-dimensional (3D) virtual reality (VR) environment of a target environment. A machine learning algorithm is used to perform a machine learning task on the intermediate 3D VR environment to generate machine learning task results including predicted features of interest (FOI) and FOI annotations for the intermediate 3D VR environment. The processor system is used to generate, based at least in part on the machine learning task results, the pathway recommendation configured to assist a user with navigating and interpreting a 3D VR environment including the intermediate 3D VR environment having the pathway recommendation. | 2022-06-16 |
20220189121 | SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT USING DIGITAL ENVIRONMENT FOR MEMORY TRAINING - A system, software application and process help the user memorize a digital environment through the process of actions the users have to perform. The embodiments provide generating a digital environment including a first virtual room. A first set of digital objects in pre-defined locations of the first virtual room is generated. The first virtual room and the digital objects in the pre-defined locations are displayed. An acknowledgement from the user that the user has memorized positions of each of the digital objects in the first virtual room is received. The objects are removed. Selection of the digital objects and their placement in the first virtual room is received. The system determines whether every digital object was placed in a correct location and in response, generates a second virtual room including a second set of digital objects for further memory training. | 2022-06-16 |
20220189122 | Presenting Building Information Using Building Models - Techniques are described for using computing devices to perform automated operations related to providing visual information of multiple types in an integrated manner about a building or other defined area. The techniques may include generating and presenting a GUI (graphical user interface) on a client device that includes a computer model of the building's interior with one or more first types of information (e.g., in a first pane of the GUI), and simultaneously presenting other types of related information about the building interior (e.g., in additional separate GUI pane(s)) that is coordinated with the first type(s) of information being currently displayed. The computer model may be a 3D (three-dimensional) or 2.5D representation generated after the house is built and showing the actual house's interior (e.g., walls, furniture, etc.), and may be displayed to a user of a client computing device in a displayed GUI with various user-selectable controls. | 2022-06-16 |
20220189123 | METHOD AND APPARATUS WITH HUMAN BODY ESTIMATION - A human body estimating method includes: receiving an image frame including a two-dimensional (2D) human body from a camera; determining a 2D appearance parameter of the 2D human body by analyzing the image frame; determining a three-dimensional (3D) appearance parameter of the 2D human body based on the 2D appearance parameter, a camera parameter of the camera, a 3D space parameter of the 2D human body; and estimating a 3D human body corresponding to the 2D human body based on the 3D space parameter and the 3D appearance parameter. | 2022-06-16 |
20220189124 | SYSTEMS AND METHODS FOR ENABLING PRECISE OBJECT INTERACTION WITHIN AN AUGMENTED REALITY ENVIRONMENT - The present disclosure provides systems and methods for displaying a real-world vehicle in an augmented reality environment. The system employs a user device camera to obtain image data of an environment that includes a real-world vehicle. The system analyzes the image data to identify the vehicle within the environment. A wireframe model of the vehicle is then generated and registered to the vehicle. The image data is displayed on the user device. In response to user input, the system may then attach a virtual vehicle accessory to the wireframe model. The accessory is then displayed on the user device display in an augmented reality environment such that the vehicle appears to seamlessly incorporate the accessory. | 2022-06-16 |
20220189125 | METHOD FOR CONFIGURING AND DISPLAYING, IN AUGMENTED OR MIXED OR EXTENDED REALITY, THE INFORMATION RELATING TO EQUIPMENT INSTALLED IN A REAL SITE, AND ASSOCIATED COMPUTER PROGRAM PRODUCT AND ELECTRONIC DEVICE - A method for configuring and displaying, in augmented or mixed or extended reality, the information relating to equipment installed in a real site, including:
| 2022-06-16 |
20220189126 | PORTABLE DISPLAY DEVICE WITH OVERLAID VIRTUAL INFORMATION - A method for positioning a virtual object in an image of a scene including a real object is disclosed. The method comprises receiving a signal from a short-range wireless transmitter arranged at a predetermined position relative to the real object and determining a location and orientation of the portable device relative to the short-range wireless transmitter based on the received signal. The image of the scene is displayed with the virtual object, wherein the position of the virtual object in the image is based on the determined location and orientation of the portable device relative to the short-range wireless transmitter and on the predetermined position of the short-range wireless transmitter relative to the real object. A system, a portable device and a computer program product is also disclosed. | 2022-06-16 |
20220189127 | INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING TERMINAL DEVICE, SERVER DEVICE, INFORMATION PROCESSING METHOD AND PROGRAM THEREOF - A technology for reducing a processing delay when a plurality of mixed reality spaces are shared between terminals is provided. | 2022-06-16 |
20220189128 | TEMPORAL SEGMENTATION - A method includes obtaining a plurality of sequential images. The method includes identifying a first plurality of pixel sets respectively associated with the plurality of sequential images. Each of the first plurality of pixel sets locates a first object within a corresponding sequential image on a per-pixel basis. The method includes determining a characterization vector of the first object by extracting a corresponding plurality of displayable characteristic values based on the first plurality of pixel sets. Each of the plurality of displayable characteristic values is associated with a corresponding pixel set and a corresponding sequential image. The characterization vector includes a plurality of distinct temporal values respectively associated with the corresponding plurality of displayable characteristic values. The method includes generating a first behavioral value for the first object based on a function of the corresponding plurality of displayable characteristic values and the plurality of distinct temporal values. | 2022-06-16 |
20220189129 | METHOD AND SYSTEM FOR VISUALISING COLOCALISED FLUORESCENCE SIGNALS - A computer-implemented method and a system are provided for visualising colocalised fluorescence signals. The method accesses signal intensity data obtained from a first fluorescence channel and a second fluorescence channel in which the signal intensity data is associated with voxels in an image. A regression factor on the signal intensity data is calculated to generate a regression parameter corresponding to a degree of correlation between the signal intensity data obtained from the first and second fluorescence channels The signal intensity data is mapped to the regression parameter and colourmap values are assigned to each voxel based on the mapped signal intensity data in which colourmap values of voxels embodying poorly correlated signal intensity data are reduced. The method renders the voxels in the image in colours according to their colourmap values to visualise colocalisation in the image. | 2022-06-16 |
20220189130 | SYSTEMS AND METHODS FOR CONSTRUCTING A THREE-DIMENSIONAL MODEL FROM TWO-DIMENSIONAL IMAGES - Systems and methods for generating a three-dimensional (3D) model of a user's dental arch based on two-dimensional (2D) images of dental impressions include a model training system that provides a machine learning model using training image(s) of a dental impression of a respective dental arch and a 3D training model of the respective dental arch. A model generation system receives first image(s) of a first dental impression of a user's dental arch and second image(s), which may be of the first dental impression or a second dental impression of the dental arch. The model generation system generates a first and second 3D model of the dental arch by applying the first image(s) and second image(s) to the machine learning model. | 2022-06-16 |
20220189131 | MODIFICATION OF PROJECTED STRUCTURED LIGHT BASED ON IDENTIFIED POINTS WITHIN CAPTURED IMAGE - Structured light is projected onto an object, and an image of the object as illuminated by the projected structured light is captured. Reference object points are identified within the captured image, and the structured light projected onto the object is modified based on the identified reference object points. An additional image of the object as illuminated by the modified projected structured light is captured, and additional reference object points are identified within the captured additional image. | 2022-06-16 |
20220189132 | INTEREST DETERMINATION APPARATUS, INTEREST DETERMINATION SYSTEM, INTEREST DETERMINATION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING PROGRAM - An image acquisition unit ( | 2022-06-16 |
20220189133 | DETECTION OF ANNOTATED REGIONS OF INTEREST IN IMAGES - The present disclosure is directed to systems and methods for identifying regions of interest (ROIs) in images. A computing system may identify an image including an annotation defining an ROI. The image may have a plurality of pixels in a first color space. The computing system may convert the plurality of pixels from the first color space to a second color space to differentiate the annotation from the ROI. The computing system may select a first subset of pixels corresponding to the annotation based at least on a color value of the first subset of pixels in the second color space. The computing system may identify a second subset of pixels included in the ROI from the image using the first subset of pixels. The computing system may store an association between the second subset of pixels and the ROI defined by the annotation in the image. | 2022-06-16 |
20220189134 | IMAGE RECOGNITION DEVICE AND IMAGE RECOGNITION PROGRAM - An image recognition device involves successively extracting co-occurrence pairs in synchronization with a clock, setting a weighting for the portion connecting the input layer and the intermediate layer corresponding to the extracted co-occurrence pairs, and successively inputting a first vote to the input layer. Meanwhile, the intermediate layer adds and stores the successively inputted number of votes. By continuing this operation, a value the same as if a histogram were inputted to an input layer is achieved in the intermediate layer, without creating a histogram. In this way, the image recognition device of this embodiment can perform image recognition while avoiding the creation of a histogram, which consumes vast amounts of memory. As a result of this configuration, it is possible to save memory resources, simplify circuits, and improve calculation speed, and achieve an integrated circuit suitable to an image recognition device. | 2022-06-16 |
20220189135 | METHOD AND APPARATUS FOR RECOGNIZING BITTING CODE OF KEY, AND STORAGE MEDIUM AND IMAGE COLLECTION DEVICE - Disclosed is a method for recognizing a bitting code of a key. The method comprises: using a back light source and/or a lateral light source to collect an image of a key to be recognized; and recognizing, on the basis of the image, a bitting code of the key to be recognized. Further disclosed are an apparatus for recognizing a bitting code of a key, and a storage medium and an image collection device. The present disclosure can improve the efficiency of recognizing a bitting code of a key and reduce the wear of the key during a recognition process. | 2022-06-16 |
20220189136 | IMAGE GENERATION METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM - An image generation method, apparatus, device, and storage medium. The method includes: obtaining contour information and target region information; determining at least one target contour according to the contour information and the target region information, the at least one target contour wholly or partly located in a target region; decreasing first coordinates of a plurality of contour points in the at least one target contour to obtain second location information, second location information of the at least one target contour includes second coordinates of a plurality of contour points in the at least one target contour, and the first coordinates of the plurality of contour points in the at least one target contour having a same decreasing extent; and generating a target image corresponding to the target region according to the second location information of the at least one target contour and the target region information. | 2022-06-16 |
20220189137 | APPARATUS, METHOD, AND STORAGE MEDIUM - An apparatus acquires normal information indicating a normal direction on a surface of an object and specular reflection information regarding reflection on the object in a specular reflection direction, and compress the normal information based on the specular reflection information. | 2022-06-16 |
20220189138 | INFORMATION PROCESSING APPARATUS, CONTROL METHOD, AND STORAGE MEDIUM - An information processing apparatus includes a detection unit configured to detect a human body in an image, a discrimination unit configured to discriminate a part and an orientation of a detected human body in a case where a plurality of human bodies is detected by the detection unit, a photometry unit configured to, in a case where a plurality of human bodies is detected by the detection unit, measure a luminance of each of a plurality of photometric areas corresponding to the human bodies, a determination unit configured to determine a weighting for each photometric area in accordance with the part and orientation discriminated by the discrimination unit, and a calculation unit configured to calculate an exposure amount for capturing a moving image, from the luminance of each photometric area measured by the photometry unit and the weighting for each photometric area determined by the determination unit. | 2022-06-16 |
20220189139 | Methods and Systems for an Automated Design, Fulfillment, Deployment and Operation Platform for Lighting Installations - A platform for design of a lighting installation generally includes an automated search engine for retrieving and storing a plurality of lighting objects in a lighting object library and a lighting design environment providing a visual representation of a lighting space containing lighting space objects and lighting objects. The visual representation is based on properties of the lighting space objects and lighting objects obtained from the lighting object library. A plurality of aesthetic filters is configured to permit a designer in a design environment to adjust parameters of the plurality of lighting objects handled in the design environment to provide a desired collective lighting effect using the plurality of lighting objects. | 2022-06-16 |
20220189140 | SYSTEM AND METHOD FOR IMAGE PROCESSING FOR TREND ANALYSIS - Systems and methods for analyzing trends in image data is disclosed. A trend query is received relating to an object category and defining two or more groups of interest for which trend data is to be determined with a defined time period. Visual tokens of interest are identified relating to the object category for use in searching a token database. One or more image data sets are identified that are associated with each of the two or more groups of interest. Visual tokens are analyzed matching the visual tokens of interest that are associated with the identified image data sets to generate trend data for each of the two or more groups of interest for the defined period of time. An output is generated based on a comparison of the trend data generated for the two or more groups of interest for the defined period of time. | 2022-06-16 |
20220189141 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - An image processing apparatus divides a radiographic image obtained through radiography into a plurality of areas, extracts, as a target area, at least one area to serve as a reference, from the plurality of areas divided, determines a rotation angle from the target area extracted, and rotates the radiographic image on the basis of the rotation angle determined. | 2022-06-16 |
20220189142 | AI-BASED OBJECT CLASSIFICATION METHOD AND APPARATUS, AND MEDICAL IMAGING DEVICE AND STORAGE MEDIUM - An AI-based object classification method and apparatus, a computer-readable storage medium, and a computer device. The method includes: obtaining a target image to be processed, the target image including a target detection object; separating a target detection object image of the target detection object from the target image; inputting the target detection object image into a feature object prediction model to obtain a feature object segmentation image of a feature object in the target detection object image; obtaining quantitative feature information of the target detection object according to the target detection object image and the feature object segmentation image; and classifying the target detection object image according to the quantitative feature information to obtain category information of the target detection object in the target image. | 2022-06-16 |
20220189143 | METHOD AND SYSTEM FOR IMAGE CLASSIFICATION - There is provided a method of image classification. The method includes: providing a set of category mapping discriminators, each corresponding to a respective category, wherein each category mapping discriminator of the set of category mapping discriminators is configured for discriminating features relating to input images that belong to the respective category of the category mapping discriminator; extracting a plurality of features from an input image using a machine learning model; determining, for each of the set of category mapping discriminators, an output value based on the plurality of extracted features using the category mapping discriminator; and determining a classification of the input image based on the output values of the set of category mapping discriminators. | 2022-06-16 |
20220189144 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM - An information processing apparatus ( | 2022-06-16 |
20220189145 | UNPAIRED IMAGE-TO-IMAGE TRANSLATION USING A GENERATIVE ADVERSARIAL NETWORK (GAN) - An apparatus for identifying objects receives a dataset comprising an image having first real image features; trains a neural network to recognize the first real image features in the received dataset; and performs a synthetic image augmentation to generate synthetic image features corresponding to the first real image features in the received dataset using the neural network. The synthetic image augmentation allows for improved training of a computer vision function for recognizing second real image features, corresponding to the synthetic image features, in a real-world environment. | 2022-06-16 |
20220189146 | TRAINING DATA GENERATION APPARATUS - A selecting unit selects first moving image data and second moving image data from a plurality of frame images composing moving image data. A first generating unit generates first training data that is labeled data relating to a specific recognition target from the frame images composing the first moving image data. A learning unit learns a first model recognizing the specific recognition target by using the first training data. A second generating unit generates second training data that is labeled data relating to the specific recognition target from the frame images composing the second moving image data by using the first model. | 2022-06-16 |
20220189147 | OBJECT DETECTION MODEL TRAINING METHOD AND APPARATUS, OBJECT DETECTION METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM - An object detection model training method includes: inputting an unannotated first sample image into an initial detection model of a current round, and outputting a first prediction result for a target object, transforming the first sample image and a first prediction position region within the first prediction result to obtain a second sample image and a prediction transformation result in the second sample image; inputting the second sample image into the initial detection model, and outputting a second prediction result for the target object; obtaining a loss value of unsupervised learning according to a difference between the second prediction result and the prediction transformation result; and adjusting model parameters of the initial detection model according to the loss value and returning to the operation of inputting a first sample image into an initial detection model of a current round to perform iterative training, to obtain an object detection model. | 2022-06-16 |
20220189148 | DETERMINATION OF THE IMAGE COMPONENTS RELEVANT TO DECISION-MAKING FOR AN IMAGE CLASSIFIER THROUGH MODIFICATION IN LATENT SPACE - A method for measuring components of an input image on which an image classifier bases its decision regarding the assignment of the input image to class(es) of a predefined classification. The method includes: processing the input image by the image classifier into an intermediate product; mapping the intermediate product on a classification score with respect to at least one target class; ascertaining a perturbation from counter image(s) which is/are preferentially assigned by the image classifier to at least one class other than the target class; providing at least one binary mask; creating at least one modification, in which pixels established by the binary mask are replaced with pixels of the perturbation corresponding thereto; mapping the modification on a classification score with respect to a predefined class; and ascertaining from the classification score to what extent the binary mask indicates the sought-after decision-relevant components of the input image. | 2022-06-16 |
20220189149 | INFORMATION PROCESSING APPARATUS, METHOD FOR OPERATING INFORMATION PROCESSING APPARATUS, AND OPERATING PROGRAM OF INFORMATION PROCESSING APPARATUS - An information processing apparatus includes an acquisition unit that acquires an output image output from a trained model as a result of causing the trained model to perform semantic segmentation in which discrimination of a class which is a type of an object appearing in an input image is performed on a pixel-by-pixel basis, an evaluation unit that evaluates validity of the semantic segmentation based on the output image, and a display controller that performs control such that an evaluation result indicating that the semantic segmentation does not have validity is displayed in a case where the evaluation unit evaluates that the semantic segmentation does not have validity. | 2022-06-16 |
20220189150 | SYSTEMS AND METHODS FOR GENERATING HISTOLOGY IMAGE TRAINING DATASETS FOR MACHINE LEARNING MODELS - A system and method are provided for training and using a machine learning model to analyze hematoxylin and eosin (H&E) slide images, where the machine learning model is trained using a training data set comprising a plurality of unmarked H&E images and a plurality of marked H&E images, each marked H&E image being associated with one unmarked H&E image and each marked H&E image including a location of one or more molecules determined by analyzing a multiplex IHC image having at least two IHC stains, each IHC stain having a unique color and a unique target molecule. Predicted molecules and locations identified with the machine learning model result in an immunotherapy response class being assigned to the H&E slide image. | 2022-06-16 |
20220189151 | PROCESSING SYSTEM, ESTIMATION APPARATUS, PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM - The present invention provides a processing system ( | 2022-06-16 |
20220189152 | VIDEO SYSTEM, IMAGING DEVICE, AND VIDEO PROCESSING DEVICE - A system configuration suitable for carrying out video recognition by machine learning in a video system including an imaging device and a video processing device is provided. | 2022-06-16 |
20220189153 | APPARATUS FOR ESTIMATING CONTACT DISTRIBUTION AND METHOD THEREOF - An apparatus for estimating contact distribution to quickly estimate contact spot distribution from a contact surface image using a deep learning model based on a convolution neural network (CNN) and a method thereof are disclosed. A method for estimating contact distribution to estimate contact spot distribution between a first contact spot and a second contact spot includes inputting a contact surface image of at least one of the first contact surface and the second contact surface to a deep learning model based on a CNN and estimating contact spot distribution between the first contact surface and the second contact surface from an output of the deep learning model. | 2022-06-16 |
20220189154 | CONNECTION WEIGHT LEARNING FOR GUIDED ARCHITECTURE EVOLUTION - Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining one or more neural network architectures of a neural network for performing a video processing neural network task. In one aspect, a method comprises: at each of a plurality of iterations: selecting a parent neural network architecture from a set of neural network architectures; training a neural network having the parent neural network architecture to perform the video processing neural network task, comprising determining trained values of connection weight parameters of the parent neural network architecture; generating a new neural network architecture based at least in part on the trained values of the connection weight parameters of the parent neural network architecture; and adding the new neural network architecture to the set of neural network architectures. | 2022-06-16 |
20220189155 | OBJECT DETECTION USING MULTIPLE NEURAL NETWORK CONFIGURATIONS - This disclosure relates to an apparatus for object detection. The apparatus comprises a video camera, an object detector, and a controller. The video camera may be configured to generate a video stream of frames. The object detector may be configured to accept the video stream as input data and to perform object detection. The controller may be coupled to the video camera and the object detector. The controller may be configured to manage object detection in order to satisfy a performance metric and/or operate within an operational constraint. | 2022-06-16 |
20220189156 | INFORMATION PROVIDING DEVICE, INFORMATION PROVIDING METHOD, AND STORAGE MEDIUM - An information providing device according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: receive a face image; determine whether a person in the face image is unsuitable for iris data acquisition based on the face image; and output information based on determining that the person is unsuitable for the iris data acquisition when the person is determined to be unsuitable for the iris data acquisition. | 2022-06-16 |
20220189157 | INFORMATION PROVIDING DEVICE, INFORMATION PROVIDING METHOD, AND STORAGE MEDIUM - An information providing device according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: receive a face image; determine whether a person in the face image is unsuitable for iris data acquisition based on the face image; and output information based on determining that the person is unsuitable for the iris data acquisition when the person is determined to be unsuitable for the iris data acquisition. | 2022-06-16 |
20220189158 | METHOD AND DEVICE FOR DETECTING BOUNDARY OF ROAD IN 3D POINT CLOUD USING CASCADE CLASSIFIER - An embodiment device for detecting a boundary of a road in a 3D point cloud using a cascade classifier includes a rule-based classifier configured to determine whether a received LiDAR cluster has a likelihood of becoming a candidate for the boundary of the road using a box parameter surrounding a point cloud constituting the LiDAR cluster and a point parameter, and a learning-based classifier configured to apply a machine-learning scheme to the LiDAR cluster selected as the candidate for the boundary of the road by the rule-based classifier to determine the LiDAR cluster to be the boundary of the road or an object other than the boundary of the road. | 2022-06-16 |
20220189159 | Computer System and Method for Documenting Items Identified While at a Construction Site - In order to improve a user's task of documenting items that are identified by the user while at a construction site, a computing system may be configured to (i) analyze media content captured at a construction site (e.g., an audio or audiovisual recording) that is descriptive of at least one given on-site item identified by a user while at the construction site, (ii) extract, from the captured media content, a set of information for the given on-site item, (iii) based on the extracted set of information for the given on-site item, generate a data record for the given on-site item, and (iv) cause the generated data record for the given on-site item to be presented to the user for review. | 2022-06-16 |
20220189160 | AUGMENTED, VIRTUAL AND MIXED-REALITY CONTENT SELECTION & DISPLAY FOR REAL ESTATE - A real estate information system recognizes a real world object relating to a real estate transaction and uses augmented, mixed and/or virtual reality to display information relating to the property and/or the transaction on a smart device such as a smartphone or AR glasses. | 2022-06-16 |
20220189161 | AUGMENTED, VIRTUAL AND MIXED-REALITY CONTENT SELECTION & DISPLAY FOR FLYERS - A flyer information system recognizes a real world object relating to a flyer based transaction and uses augmented, mixed and/or virtual reality to display information relating to the transaction on a smart device such as a smartphone or AR glasses. | 2022-06-16 |
20220189162 | AUGMENTED, VIRTUAL AND MIXED-REALITY CONTENT SELECTION & DISPLAY FOR LABELS - A label information system recognizes a real world label object relating to or associated with an item such as a product and uses augmented, mixed and/or virtual reality to display information relating to the item on a smart device such as a smartphone or AR glasses. | 2022-06-16 |
20220189163 | AUGMENTED, VIRTUAL AND MIXED-REALITY CONTENT SELECTION & DISPLAY FOR PACKAGING - A packaging information system recognizes a real world packaging object relating to a product or other item and uses augmented, mixed and/or virtual reality to display information relating to the product/item and/or the transaction on a smart device such as a smartphone or AR glasses. | 2022-06-16 |
20220189164 | AUGMENTED, VIRTUAL AND MIXED-REALITY CONTENT SELECTION & DISPLAY FOR MEMBERSHIP CARDS - A membership card information system recognizes a real world membership card object relating to or associated with an organization, association, entity or group and uses augmented, mixed and/or virtual reality to display information relating to the organization, association, entity or group on a smart device such as a smartphone or AR glasses. | 2022-06-16 |
20220189165 | AUGMENTED, VIRTUAL AND MIXED-REALITY CONTENT SELECTION & DISPLAY FOR MEDICAL OBJECTS - A packaging information system recognizes a real world medical object relating to a product or other item and uses augmented, mixed and/or virtual reality to display information relating to the product/item and/or the transaction on a smart device such as a smartphone or AR glasses. | 2022-06-16 |
20220189166 | AUGMENTED, VIRTUAL AND MIXED-REALITY CONTENT SELECTION & DISPLAY FOR STADIUM SEATS - A stadium seat information system recognizes a real world stadium seat object uses augmented, mixed and/or virtual reality to display information relating to the stadium seat object on a smart device such as a smartphone or AR glasses. | 2022-06-16 |
20220189167 | AUGMENTED, VIRTUAL AND MIXED-REALITY CONTENT SELECTION & DISPLAY FOR TICKETS - A ticket information system recognizes a real world ticket object uses augmented, mixed and/or virtual reality to display information relating to the ticket object on a smart device such as a smartphone or AR glasses. | 2022-06-16 |
20220189168 | AUGMENTED, VIRTUAL AND MIXED-REALITY CONTENT SELECTION & DISPLAY FOR TRAVEL - A travel information system recognizes a real world object relating to a travel transaction and uses augmented, mixed and/or virtual reality to display information relating to the property and/or the transaction on a smart device such as a smartphone or AR glasses. | 2022-06-16 |
20220189169 | SYSTEM AND METHOD FOR UTILIZING HEAT MAPS FOR TRAFFIC AND COMPLIANCE REPORTING - A system and method for utilizing a multi-sensor video surveillance system for traffic and compliance reporting. Utilizing closed caption televisions (CCTVs), cameras and other sensors, the system can generate heat maps and monitor activity in the scene. Based on the heat maps and object detection, the system can monitor traffic pattern for vehicles and monitor people for personal protective equipment (PPE) compliance. | 2022-06-16 |
20220189170 | Memory-Guided Video Object Detection - Systems and methods for detecting objects in a video are provided. A method can include inputting a video comprising a plurality of frames into an interleaved object detection model comprising a plurality of feature extractor networks and a shared memory layer. For each of one or more frames, the operations can include selecting one of the plurality of feature extractor networks to analyze the one or more frames, analyzing the one or more frames by the selected feature extractor network to determine one or more features of the one or more frames, determining an updated set of features based at least in part on the one or more features and one or more previously extracted features extracted from a previous frame stored in the shared memory layer, and detecting an object in the one or more frames based at least in part on the updated set of features. | 2022-06-16 |
20220189171 | APPARATUS AND METHOD FOR PREDICTION OF VIDEO FRAME BASED ON DEEP LEARNING - An apparatus and a method of predicting a video frame are provided. The apparatus includes a level encoder configured to extract and learn at least one feature from a video frame, a feature learning unit configured to learn based on the at least one feature or transmit predicted feature data corresponding to the at least one feature, and a level decoder configured to obtain and learn a predicted video frame based on the predicted feature data. | 2022-06-16 |
20220189172 | METHOD AND SYSTEM FOR WHOLE-PROCESS TRACE LEAVING OF VIDEO MANUSCRIPT GATHERING, EDITING, AND CHECK - The present invention provides a method for whole-process trace leaving of video manuscript gathering, editing, and check, including: extracting a key frame from video clipping information, generating histogram data by using the key frame, and obtaining video modification information based on the histogram data; and on-chaining, by using timestamps as blockchain nodes, the video modification information completed at different time points to form a trace chain arranged according to the timestamp, to implement whole-process trace leaving for video clipping. The technical solutions of the present invention resolve a difficulty in whole-process trace leaving for video manuscript editing and issuing, and in addition, by using the blockchain techniques, implement tamper-proofing and security of trace information, thereby effectively improving security of gathering and editing in the media industry. | 2022-06-16 |
20220189173 | GENERATING HIGHLIGHT VIDEO FROM VIDEO AND TEXT INPUTS - Presented herein are systems, methods, and datasets for automatically and precisely generating highlight or summary videos of content. In one or more embodiments, the inputs comprise a text (e.g., an article) of the key event(s) (e.g., a goal, a player action, etc.) in an activity (e.g., a game, a concert, etc.) and a video or videos of the activity. In one or more embodiments, the output is a short video of an event or events in the text, in which the video may include commentary about the highlighted events and/or other audio (e.g., music), which may also be automatically synthesized. | 2022-06-16 |
20220189174 | A METHOD AND SYSTEM FOR MATCHING CLIPS WITH VIDEOS VIA MEDIA ANALYSIS - A method includes comparing each textless video clip to a plurality of portions of the video file corresponding to the full length video file; determining each textless video clip being similar to only one portion of the video file as being a matched pair; for each matched pair identifying if their text content is different, wherein identification of a different text content dictates that the textless video clip corresponds to a portion of the video file having overlaid text; training a classifier to predict whether an area of text detected in the full length video is overlaid text; determining the probability of each portion of the full-length video having overlaid text; determining each textless video clip being similar to more than one portion of the video file as being a potential matched pair; and resolving the potential matched pairs with the determined probability. | 2022-06-16 |
20220189175 | ELECTRONIC DEVICE AND METHOD FOR PROVIDING SERVICE CORRESPONDING TO SELECTION OF OBJECT IN IMAGE - An electronic device and a method for providing a service corresponding to the selection of an object in an image are provided. The electronic device includes a camera, a display, a memory, and a processor operationally connected to the camera, the display, and the memory, wherein the processor can be configured to detect a plurality of object regions included in an image acquired using the camera, remove object regions having a size exceeding a threshold range from among the detected plurality of object regions, calculate the importance of objects within the threshold range, select a number of main objects that is no greater than the number of objects allowed by the electronic device, select auxiliary objects spatially related to the selected main objects, recognize the main objects and the auxiliary objects, recognize service attributes provided by the recognized main objects and auxiliary objects, determine services provided by the main objects and the auxiliary objects, and display the determined services on the display. | 2022-06-16 |
20220189176 | OBJECT IDENTIFICATION METHOD AND RELATED SURVEILLANCE SYSTEM - An object identification method is applied to a surveillance system. The surveillance system includes at least one surveillance apparatus. The object identification method includes acquiring a plurality of first feature vectors of a first moving object and a plurality of second feature vectors of at least one second moving object within a series of surveillance images from the surveillance apparatus, transforming the first feature vectors and the second feature vectors respectively into a first cluster distribution set and at least one second cluster distribution set, comparing similarity of the first cluster distribution set and the at least one second cluster distribution set, and setting a similarity ranking of the first cluster distribution set and the at least one second cluster distribution set according to a comparison result so as to determine whether the first moving object and the at least one second moving object are the same. | 2022-06-16 |
20220189177 | SYSTEM AND METHOD FOR CORRELATING ELECTRONIC DEVICE IDENTIFIERS AND VEHICLE INFORMATION - A system for monitoring vehicle traffic may include a camera positioned to capture images within a license plate detection zone, the images may represent license plates of vehicles. The system may include an electronic device identification sensor that detects and stores electronic device identifiers of electronic devices located within an electronic device detection zone, and a computing system that detects, using the images, a license plate ID of a vehicle, compare the license plate ID of the vehicle to a database of trusted vehicle license plate IDs, identifies the vehicle as a suspicious vehicle, the identification based at least in part on the comparison of the license plate ID of the vehicle to the database of trusted vehicle license plate IDs, and correlates the license plate ID of the vehicle with at least one of the plurality of stored electronic device identifiers. | 2022-06-16 |
20220189178 | SIGNAL-TO-NOISE RATIO (SNR) IDENTIFICATION WITHIN A SCENE - Techniques are disclosed for generating a two-dimensional (2D) map of signal-to-noise ratio (SNR) values for sensor-acquired images. The techniques leverage the use of lookup tables (LUTs) to generate a transformation LUT that functions to map pixel values to SNR values. The transformation LUT may be generated by first generating an intermediate LUT that uses the operating parameters identified with the sensor to map pixel values to light level values. The light level values are then used together with an SNR model that outputs a prediction of electrons identified with a signal portion and a noise portion of images acquired by the sensor to thus map the pixel values to SNR values. The 2D map may be used to improve upon the accuracy of the classification of objects and/or scene characteristics for various applications. | 2022-06-16 |
20220189179 | OBJECT POSITION DETECTION DEVICE, TRAVEL CONTROL SYSTEM, AND TRAVEL CONTROL METHOD - An object position detection device includes a first distance detection unit detecting a distance of an object from images, a first position detection unit detecting a position of the object based on the distance, a processing area which contains the object detected by the first distance detection unit in images, a second position detection unit that detects a position of the object in the processing area, a second distance detection unit that detects a distance of the object based on the position of the object detected by the second position detection unit, a unit that detects an orientation of the object based on the position of the object detected by the second position detection unit, and a determination unit that determines the distance and the position of the object in accordance with information of detections executed by the first and the second distance detection units, and the orientation detection unit. | 2022-06-16 |
20220189180 | VEHICULAR VISION SYSTEM THAT DETERMINES DISTANCE TO AN OBJECT - A vehicular vision system includes a camera disposed at an in-cabin side of a windshield of a vehicle. Responsive to image processing at an ECU of captured frames of image data, the vehicular vision system detects an object present in a field of view of the camera. As the vehicle moves relative to the detected object, captured frames of image data are processed to determine a point of interest, present in multiple captured frames of image data, on the detected object. The vehicular vision system, via processing of captured frames of image data as the vehicle moves relative to the detected object, and based on the determined point of interest present in multiple captured frames of image data, estimates a location in three dimensional space of the determined point of interest and determines distance to the determined point of interest on the detected object. | 2022-06-16 |
20220189181 | DETERMINING A RELATIVE COGNITIVE CAPABILITY OF A SUBJECT - A method and system for determining an indicator for a subject that is responsive to changes in a relative cognitive capability of that subject. At least two separate machine-learning algorithms are used to generate a respective number of intermediate indicators based on one or more outputs of one or more sensors monitoring the subject. The intermediate indicators are subsequently processed to thereby generate an indicator of a relative cognitive capability of the subject. | 2022-06-16 |
20220189182 | READING SYSTEM, READING DEVICE, AND STORAGE MEDIUM - According to one embodiment, a reading system includes an extractor, a determiner, and a reader. The extractor extracts a candidate image from an input image. The candidate image is of a portion of the input image in which a segment display is imaged. The determiner calculates an angle with respect to a reference line of each of a plurality of straight lines detected from the candidate image, and determines whether or not the candidate image is an image of a segment display based on a distribution indicating a relationship between the angle and a number of the straight lines. The reader reads a numerical value displayed in a segment display from the candidate image determined to be an image of a segment display. | 2022-06-16 |
20220189183 | Apparatus and Method for Classifying Pictures of Gel-Card Reactions - An apparatus for classifying a picture of a reaction of reactants in a predetermined container; the apparatus comprising a first neural network arranged for receiving an input picture of a reaction of reactants in a predetermined container and for providing, for each reaction category of a first plurality of reaction categories, a probability that the input picture shows a reaction that belongs to said reaction category; a second neural network arranged for, if the first neural response provides a highest probability that the input picture shows a reaction that belongs to a predetermined reaction category, receiving a predetermined portion of the input picture and providing, for each reaction category of a second plurality of reaction categories, a probability that said predetermined portion of the input picture shows a reaction that belongs to said reaction category. | 2022-06-16 |
20220189184 | IMAGE PROCESSING APPARATUS, METHOD OF CONTROLLING THE SAME, AND STORAGE MEDIUM - An image processing apparatus configured to perform character recognition processing to recognize characters included in image data and acquire character information, display characters indicated by the character information acquired, accept a selection of characters displayed by a user, generate a folder path based on the selected characters, and transmit the image data to a folder indicated by the folder path. In a case where the selection of characters is accepted multiple times, generate a folder path based on a combination of selected characters and transmit the image data to a folder indicated by the folder path. | 2022-06-16 |
20220189185 | SYSTEM AND METHOD FOR APPLYING DEEP LEARNING TOOLS TO MACHINE VISION AND INTERFACE FOR THE SAME - This invention overcomes disadvantages of the prior art by providing a vision system and method of use, and graphical user interface (GUI), which employs a camera assembly having an on-board processor of low to modest processing power. At least one vision system tool analyzes image data, and generates results therefrom, based upon a deep learning process. A training process provides training image data to a processor remote from the on-board processor to cause generation of the vision system tool therefrom, and provides a stored version of the vision system tool for runtime operation on the on-board processor. The GUI allows manipulation of thresholds applicable to the vision system tool and refinement of training of the vision system tool by the training process. A scoring process allows unlabeled images from a set of acquired and/or stored images to be selected automatically for labelling as training images using a computed confidence score. | 2022-06-16 |
20220189186 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM - An image processing apparatus that generates an image for character recognition from a read image includes at least one memory that stores instructions, and at least one processor that executes the instructions to perform extracting of an area of handwritten character information and an area of printed character information from the read image, clipping of a partial image of the area of handwritten character information and a partial image of the area of printed character information out of the read image, and generating of the image for character recognition by combining the partial image of the area of handwritten character information and the partial image of the area of printed character information being associated with each other. | 2022-06-16 |
20220189187 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - An object is to improve character recognition accuracy of handwritten characters, originally a single continuous character string, described discontinuously. An image area corresponding to a handwritten character is separated from a document image obtained by scanning a document and a character block including characters having the same baseline is extracted. Then, in a case where a plurality of character blocks is extracted from the first image area, a single character block is generated by combining character blocks based on a position relationship of the plurality of character blocks. | 2022-06-16 |
20220189188 | HANDWRITING RECOGNITION - A simplified handwriting recognition approach includes a first network comprising convolutional neural network comprising one or more convolutional layers and one or more max-pooling layers. The first network receives an input image of handwriting and outputs an embedding based thereon. A second network comprises a network of cascaded convolutional layers including one or more subnetworks configured to receive an embedding of a handwriting image and output one or more character predictions. The subnetworks are configured to downsample and flatten the embedding to a feature map and then a vector before passing the vector to a dense neural network for character prediction. Certain subnetworks are configured to concatenate an input embedding with an upsampled version of the feature map. | 2022-06-16 |
20220189189 | METHOD OF TRAINING CYCLE GENERATIVE NETWORKS MODEL, AND METHOD OF BUILDING CHARACTER LIBRARY - A method of training a cycle generative networks model and a method of building a character library are provided, which relate to a field of artificial intelligence, in particular to a computer vision and deep learning technology, and which may be applied to a scene such as image processing and image recognition. A specific implementation scheme includes: inputting a source domain sample character into the cycle generative networks model to obtain a first target domain generated character; calculating a character error loss and a feature loss of the cycle generative networks model by inputting the first target domain generated character and a preset target domain sample character into a character classification model; and adjusting a parameter of the cycle generative networks model according to the character error loss and the feature loss. An electronic device and a storage medium are further provided. | 2022-06-16 |
20220189190 | METHODS AND APPARATUS TO DETECT A TEXT REGION OF INTEREST IN A DIGITAL IMAGE USING MACHINE-BASED ANALYSIS - Methods, apparatus, systems and articles of manufacture are disclosed to analyze characteristics of text of interest using a computing system. An example apparatus includes a text detector to provide text data from a first image, the first image including a first text region of interest and a second text region not of interest, a color-coding generator to generate a plurality of color-coded text-map images, the plurality of color-coded text-map images including color-coded segments with different colors, the color-coded segments corresponding to different text characteristics, and a convolutional neural network (CNN) to determine a first location in the first image as more likely to be the first text region of interest than a second location in the first image corresponding to the second text region that is not of interest based on performing a CNN analysis on the first image and the plurality of color-coded text-map images. | 2022-06-16 |
20220189191 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM FOR DETERMINING RELIABILITY OF ROUNDING PROCESSING - An image processing apparatus that can determine reliability of rounding processing on numerical values obtained by character recognition processing. The image processing apparatus performs character recognition of a plurality of numerical values from image data, acquires a learning result indicating a rounding processing method from a storage unit that stores the learning result, and determines reliability of the character recognition on the basis of a difference between a calculation result of the plurality of numerical values and a calculation result of the plurality of numerical values in a case where the rounding processing indicated by the acquired learning result is applied. | 2022-06-16 |
20220189192 | GROWTH EVALUATION DEVICE, GROWTH EVALUATION METHOD, AND GROWTH EVALUATION PROGRAM - Provided is a technology that allows easy evaluation of a degree of growth of pigs raised in a group instead of guiding the pigs one by one to a cage. A growth evaluation device includes an extraction unit that extracts, from an image captured by a camera disposed to face a pen in which the plurality of pigs are raised in the group, a buttock image having buttocks of one of the pigs facing forward, an arithmetic unit that arithmetically determines a buttock width from the buttock image, and an evaluation unit that evaluates the degree of growth of all the plurality of pigs on the basis of a prescribed number or more of the buttock widths arithmetically determined by the arithmetic unit. | 2022-06-16 |
20220189193 | METHOD FOR REAL-TIME COUNTING OF PEDESTRIANS FOR STATISTICAL PURPOSES COUPLED WITH FACIAL RECOGNITION FUNCTION AND APPARATUS APPLYING METHOD - A method for detecting and counting pedestrians in real-time for statistical purposes together with facial recognition of such pedestrians acquires video for analysis. Images showing pedestrians are extracted, such pedestrians being identified by a first detection model and pedestrian frames are outputted. A facial identification operation is executed based on the pedestrian frames and facial sub-frames are extracted. Removal of duplications of individual pedestrians in the images in the facial sub-frames is executed by a second detection model. Path of movement of detected pedestrians is tracked and labeled based on a specified algorithm when the faces of individual pedestrians are not recorded in a database. When the path of movement passes through a specified location, the face-imaged pedestrian is considered a target object, a total number of the target objects is counted. An apparatus applying the method is also disclosed. | 2022-06-16 |
20220189194 | REGION EXTRACTION DEVICE, REGION EXTRACTION METHOD, AND REGION EXTRACTION PROGRAM - A region extraction device acquires a first frame image and a second frame image which are temporally successive. The device acquires, based on the acquired first frame image and second frame image, motion information indicating a region where a motion exists in the first frame image, detects, based on the acquired first frame image, positions of an elbow and a wrist of a human body from the region where the motion exists indicated by the acquired motion information, and extracts, based on the detected positions, a region corresponding to a part, of the region where the motion exists indicated by the acquired motion information, located in a human body hand's side of the wrist. | 2022-06-16 |
20220189195 | METHODS AND APPARATUS FOR AUTOMATIC HAND POSE ESTIMATION USING MACHINE LEARNING - Systems and methods for hand pose estimation are provided. For example, a computing device may obtain an image, such as an image of a hand. The computing device may apply one or more preprocessing processes to the image to generate an augmented image. Further, the computing device may apply a first machine learning process to the augmented image to generate a plurality of keypoints. The computing device may also apply a second machine learning process to the plurality of keypoints to generate a plurality of depth values. The computing device may further determine a plurality of angles based on the plurality of keypoints and the plurality of depth values. In some examples, the computing device may generate a model comprising a plurality of segments based on the plurality of angles. The computing device may store the plurality of angles and, in some examples, the model in a memory device. | 2022-06-16 |
20220189196 | FINGERPRINT IMAGE GENERATION METHOD AND DEVICE FOR SAVING MEMORY - A method and device of fingerprint image generation for saving memory. The method includes generating a first fingerprint image of an original data size according to a plurality of first analog sensing signals which are read from a fingerprint sensor array before an exposure period ends. Then the first fingerprint image represented by a first data size which is equivalent to or smaller than the original data size is stored. a second fingerprint image of the original data size is generated after generating the first fingerprint image of the original data size according to a plurality of second analog sensing signals which are read from the fingerprint sensor array during the exposure period. The second fingerprint image represented by a compressed data size smaller than the original data size is then stored. | 2022-06-16 |
20220189197 | DERMATOGLYPH DETECTOR - A dermatoglyph detector includes a detection circuit and an electronic processor unit. The detection circuit includes an electrically conductive thin film in which there are formed both electrodes that are arranged to come into contact with the skin of a portion of a human body and also conductive tracks connecting the electrodes to the processor unit. The processor unit is arranged to determine electrical characteristics of the body portion extending between each pair of electrodes in contact with the skin, and to execute a computer program for acting on the basis of the determined electrical characteristics to distinguish between an authentic body portion and a fake body portion. The detection circuit includes at least two track segments of different shapes between two calibration terminals so as to present an impedance ratio that is not equal to unity. | 2022-06-16 |
20220189198 | DISPLAY MODULE AND DISPLAY DEVICE - The present invention discloses a display module and a display device. The display module includes a display panel and a fingerprint identification layer. The fingerprint identification layer includes a first conductive layer including a multifunctional electrode, a second conductive layer including a first driving electrode, a sensing electrode, and a second driving electrode. The first driving electrode and the second driving electrode are both electrically connected to the multifunctional electrode. The sensing electrode is insulated from the multifunctional electrode. Orthographic projections of the sensing electrode and the multifunctional electrode on the display panel have an overlapping region. | 2022-06-16 |
20220189199 | PROCESSING APPARATUS, PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM - The present invention provides a processing apparatus ( | 2022-06-16 |
20220189200 | INFORMATION PROCESSING SYSTEM AND INFORMATION PROCESSING METHOD - Provided are an information processing system and an information processing method which can easily grasp a state of a person in a predetermined area. The information processing system includes a first imaging unit that images a performer, a second imaging unit that images a person in a predetermined area, a first recognition unit that recognizes a scene based on an image captured by the first imaging unit, a second recognition unit that recognizes expression of the person based on an image captured by the second imaging unit, a calculation unit that calculates a state index of the person according to the scene based on a recognition result of the scene and a recognition result of the expression of the person, a heat map creation unit that creates a heat map representing the state index of the person in association with a position of the person in the predetermined area, and an output unit that outputs the heat map. | 2022-06-16 |
20220189201 | DETERMINING A MOOD FOR A GROUP - A system and method for determining a mood for a crowd is disclosed. In example embodiments, a method includes identifying an event that includes two or more attendees, receiving at least one indicator representing emotions of attendees, determining a numerical value for each of the indicators, and aggregating the numerical values to determine an aggregate mood of the attendees of the event. | 2022-06-16 |
20220189202 | IRIS CAPTURE APPARATUS, IRIS CAPTURE METHOD, AND STORAGE MEDIUM - The present invention provides a technology that acquires a high resolution iris image more quickly than before. An iris capture apparatus according to one example embodiment of the present invention includes a rotatable movable mirror; a control unit that controls rotation of the movable mirror; a capture unit that captures different regions of a face of a user via the movable mirror and outputs a group of images every time the control unit rotates the movable mirror by a predetermined angle; and an iris image acquisition unit that acquires an image of an iris of the user from the group of images. | 2022-06-16 |
20220189203 | IRIS CAPTURE APPARATUS, IRIS CAPTURE METHOD, AND STORAGE MEDIUM - The present invention provides a technology that acquires a high resolution iris image more quickly than before. An iris capture apparatus according to one example embodiment of the present invention includes a rotatable movable mirror; a control unit that controls rotation of the movable mirror; a capture unit that captures different regions of a face of a user via the movable mirror and outputs a group of images every time the control unit rotates the movable mirror by a predetermined angle; and an iris image acquisition unit that acquires an image of an iris of the user from the group of images. | 2022-06-16 |
20220189204 | IRIS CAPTURE APPARATUS, IRIS CAPTURE METHOD, AND STORAGE MEDIUM - The present invention provides a technology that acquires a high resolution iris image more quickly than before. An iris capture apparatus according to one example embodiment of the present invention includes a rotatable movable mirror; a control unit that controls rotation of the movable mirror; a capture unit that captures different regions of a face of a user via the movable mirror and outputs a group of images every time the control unit rotates the movable mirror by a predetermined angle; and an iris image acquisition unit that acquires an image of an iris of the user from the group of images. | 2022-06-16 |
20220189205 | IRIS AUTHENTICATION DEVICE, IRIS AUTHENTICATION METHOD, AND RECORDING MEDIUM - The disclosure is inputting a first image captured an image of an authentication target; inputting a second image captured an image of a right eye or a left eye of the target; determining whether the second image is of a left eye or a right eye of the target based on information including the first image, and outputting a determination result as left/right information in association with the second image; detecting an overlap between a region including the second image and a predetermined region in the first image; calculating a verification score by comparing characteristic information that are related to the left/right information with iris characteristic information calculated from the second image, and calculating a first weighted verification score obtained by weighting the verification score with a detection result; and authenticating a target in the second image based on the first weighted verification score, and outputting an authentication result. | 2022-06-16 |
20220189206 | IRIS AUTHENTICATION DEVICE, IRIS AUTHENTICATION METHOD, AND RECORDING MEDIUM - The disclosure is inputting a first image captured an image of an authentication target; inputting a second image captured an image of a right eye or a left eye of the target; determining whether the second image is of a left eye or a right eye of the target based on information including the first image, and outputting a determination result as left/right information in association with the second image; detecting an overlap between a region including the second image and a predetermined region in the first image; calculating a verification score by comparing characteristic information that are related to the left/right information with iris characteristic information calculated from the second image, and calculating a first weighted verification score obtained by weighting the verification score with a detection result; and authenticating a target in the second image based on the first weighted verification score, and outputting an authentication result. | 2022-06-16 |
20220189207 | IRIS AUTHENTICATION DEVICE, IRIS AUTHENTICATION METHOD, AND RECORDING MEDIUM - The disclosure is inputting a first image captured an image of an authentication target; inputting a second image captured an image of a right eye or a left eye of the target; determining whether the second image is of a left eye or a right eye of the target based on information including the first image, and outputting a determination result as left/right information in association with the second image; detecting an overlap between a region including the second image and a predetermined region in the first image; calculating a verification score by comparing characteristic information that are related to the left/right information with iris characteristic information calculated from the second image, and calculating a first weighted verification score obtained by weighting the verification score with a detection result; and authenticating a target in the second image based on the first weighted verification score, and outputting an authentication result. | 2022-06-16 |