Patents Examined by Iman K Kholdebarin
  • Patent number: 10902236
    Abstract: An apparatus may include an ultrasonic sensor array, a light source system and a control system. Some implementations may include an ultrasonic transmitter. The control system may be operatively configured to control the light source system to emit light that induces acoustic wave emissions inside a target object. The control system may be operatively configured to select a first acquisition time delay for the reception of acoustic wave emissions primarily from a first depth inside the target object. The control system may be operatively configured to acquire first ultrasonic image data from the acoustic wave emissions received by the ultrasonic sensor array during a first acquisition time window. The first acquisition time window may be initiated at an end time of the first acquisition time delay.
    Type: Grant
    Filed: March 27, 2019
    Date of Patent: January 26, 2021
    Assignee: QUALCOMM Incorporated
    Inventors: Yipeng Lu, David William Burns
  • Patent number: 10902243
    Abstract: A facial recognition method using online sparse learning includes initializing target position and scale, extracting positive and negative samples, and extracting high-dimensional Haar-like features. A sparse coding function can be used to determine sparse Haar-like features and form a sparse feature matrix, and the sparse feature matrix in turn is used to classify targets.
    Type: Grant
    Filed: October 24, 2017
    Date of Patent: January 26, 2021
    Assignee: DEEP NORTH, INC.
    Inventors: Jinjun Wang, Shun Zhang, Rui Shi
  • Patent number: 10902056
    Abstract: Processing an image includes acquiring, by the image processing apparatus, a target image, extracting a shape of a target object included in the target image, determining a category including the target object based on the extracted shape, and storing the target image by mapping the target image with additional information including at least one keyword related to the category.
    Type: Grant
    Filed: March 30, 2017
    Date of Patent: January 26, 2021
    Assignees: Samsung Electronics Co., Ltd., Seoul National University R&DB Foundation
    Inventors: Seong-taek Hwang, Sang-doo Yun, Ha-wook Jeong, Jin-young Choi, Byeong-ho Heo, Woo-sung Kang
  • Patent number: 10902252
    Abstract: Systems, methods and computer program products for image recognition in which instructions are executable by a processor to dynamically generate simulated documents and corresponding images, which are then used to train a fully convolutional neural network. A plurality of document components are provided, and the processor selects subsets of the document components. The document components in each subset are used to dynamically generate a corresponding simulated document and a simulated document image. The convolutional neural network processes the simulated document image to produce a recognition output. Information corresponding to the document components from which the image was generated is used as an expected output. The recognition output and expected output are compared, and weights of the convolutional neural network are adjusted based on the differences between them.
    Type: Grant
    Filed: July 13, 2018
    Date of Patent: January 26, 2021
    Assignee: OPEN TEXT CORPORATION
    Inventors: Arnaud Gilles Flament, Christopher Dale Lund, Guillaume Bernard Serge Koch, Denis Eric Goupil
  • Patent number: 10896323
    Abstract: The present disclosure relates to an image processing method and device, a computer readable storage medium, and an electronic device. The method includes: acquiring an image to be processed; detecting a foreground target of the image, and recognizing the foreground target, to obtain a foreground classification result; detecting a background area of the image, and recognizing the background area, to obtain a background classification result; and obtaining a classification label of the image based on the foreground classification result and the background classification result.
    Type: Grant
    Filed: March 8, 2019
    Date of Patent: January 19, 2021
    Assignee: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD.
    Inventor: Yan Chen
  • Patent number: 10891497
    Abstract: The present disclosure provides devices, systems and methods for mapping of traffic boundaries.
    Type: Grant
    Filed: March 22, 2019
    Date of Patent: January 12, 2021
    Assignee: NETRADYNE, INC.
    Inventors: Jonathan Albert Cox, Veeresh Taranalli, David Jonathan Julian, Badugu Naveen Chakravarthy, Michael Campos, Adam David Kahn, Venkata Ramanan Venkatachalam Jayaraman, Arvind Yedla
  • Patent number: 10885380
    Abstract: Some implementations can include a computer-implemented method and/or system for automatic suggestion to share images. The method can include identifying a plurality of images associated with a user and detecting one or more entities in the plurality of images. The method can also include constructing an aggregate feature vector for the plurality of images based on the one or more entities in the plurality of images and determining that the aggregate feature vector matches a first cluster. The method can further include, in response to determining that the aggregate feature vector matches the first cluster, providing a suggestion to the user for an image composition based on the plurality of images.
    Type: Grant
    Filed: October 3, 2019
    Date of Patent: January 5, 2021
    Assignee: Google LLC
    Inventors: Teresa Ko, Loren Puchalla Fiore, Jason Chang, Catherine Wah
  • Patent number: 10885310
    Abstract: Systems and methods for object recognition and association with an identity are disclosed. Systems and methods for object recognition and association with an identity are disclosed. In one embodiment, in an information processing apparatus comprising at least one computer processor, a method for object recognition and association with an identity may include: (1) receiving, from a first image capture device at a facility, a first image or a video; (2) recognizing, in the first image or video, an individual having a physical characteristic and an object in proximity to the individual; (3) associating the physical characteristic and the object with the individual; and (4) storing the association in a database.
    Type: Grant
    Filed: August 17, 2018
    Date of Patent: January 5, 2021
    Assignee: JPMORGAN CHASE BANK, N.A.
    Inventor: Jeffrey Dean Mathwig
  • Patent number: 10878539
    Abstract: An image-processing method, an apparatus and a device are provided. The method includes: controlling a primary camera to capture a plurality of primary images, and simultaneously controlling a secondary camera to capture a plurality of secondary images; obtaining a reference primary image from the primary images, and obtaining a reference secondary image co-captured with the reference primary image from the secondary images; starting a multithread-based parallel processing mechanism, calling a first thread to perform a multiframe-synthesizing noise-reduction process for the primary images so as to generate a target primary image, and simultaneously calling a second thread to obtain depth information according to the reference primary image and the reference primary image; and performing a blurring process for a background region of the target primary image according to the depth information. Thus, it improves the accuracy of calculating the depth information and the image-processing efficiency thereof.
    Type: Grant
    Filed: August 17, 2018
    Date of Patent: December 29, 2020
    Assignee: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD.
    Inventors: Dan Ouyang, Guohui Tan
  • Patent number: 10872423
    Abstract: Provided are an image detection device, an image detection method and a program, which are capable of improving correspondence to a target deformation by optimizing a template shape, when performing target detection using template matching. An image detection device 100 for detecting a target from an input image comprises: a template generation unit 10 that generates a template for detecting a target; a mask generation unit 20 that generates a mask which shields a portion of the template, on the basis of temporal variations of a feature point extracted from an area including the image target; and a detection unit 30 that detects the target from the image using the template a portion of which is shielded by the mask.
    Type: Grant
    Filed: September 5, 2019
    Date of Patent: December 22, 2020
    Assignee: NEC CORPORATION
    Inventor: Takuya Ogawa
  • Patent number: 10872424
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for tracking objects over a sequence of images. In one aspect, a process includes receiving data specifying visual attributes of a particular object detected in an image. Data specifying visual attributes of a tracked object is identified. A level of similarity is determined between the particular object and the tracked object based on comparison of visual attributes of the particular object with corresponding visual attributes of the tracked object. A first normalization function is used to normalize a level of similarity between first corresponding visual attributes of the particular object and the tracked object. A second normalization function is used to normalize a level of similarity between second corresponding visual attributes of the particular object and the tracked object. A determination is made, based on the level of similarity, whether the particular object matches the tracked object.
    Type: Grant
    Filed: November 19, 2018
    Date of Patent: December 22, 2020
    Assignee: Accenture Global Solutions Limited
    Inventors: Philippe Daniel, Anders Astrom
  • Patent number: 10866322
    Abstract: Disclosed are techniques for detecting presence of shadowing introduced in a system. The techniques entail geometrically projecting, along a virtual or actual propagation direction of laser beam scanning, points of a lower convex hull (CH) planar object in a direction toward a higher CH planar object to establish projection locations of the points of the lower CH planar object along the propagation direction. Detection of whether the projection locations are in proximity to locations of points of the higher CH planar object is performed. In response to detecting locations in proximity for each source laser beam scanning, a shadowing event indication is generated to alert a user of the system that shadowing has been introduced in the system.
    Type: Grant
    Filed: December 31, 2018
    Date of Patent: December 15, 2020
    Inventor: Andrei L. Talapov
  • Patent number: 10853961
    Abstract: Techniques are disclosed for generating a low-dimensional representation of an image. An image driver receives an image captured by a camera. The image includes features based on pixel values in the image, and each feature describes the image in one or more image regions. The image driver generates, for each of the plurality of features, a feature vector that includes values for that feature corresponding to at least one of the image regions. Each value indicates a degree that the feature is present in the image region. The image driver generates a sample vector from each of the feature vectors. The sample vector includes each of the values included in the generated feature vectors.
    Type: Grant
    Filed: September 13, 2018
    Date of Patent: December 1, 2020
    Assignee: Intellective Ai, Inc.
    Inventors: Kishor Adinath Saitwal, Lon W. Risinger, Wesley Kenneth Cobb, Ming-Jung Seow, Gang Xu
  • Patent number: 10846822
    Abstract: An image processing apparatus performs a first detection that detects motion information of an image sensor during a period in which the image sensor captures a first image and a second image based on an output of a sensor different from the image sensor, a second detection that detects a plurality of motion vectors between the first image and the second image, a determination of first reliability of the motion information detected by the first detection and second reliability of the motion vectors detected by the second detection, and an alignment based on either one of the motion vectors or a vector indicated by the motion information, which has higher reliability, or a vector obtained from the motion vectors and the motion information according to the reliability.
    Type: Grant
    Filed: July 13, 2018
    Date of Patent: November 24, 2020
    Assignee: Canon Kabushiki Kaisha
    Inventors: Takeshi Yasutomi, Yoichi Takahashi
  • Patent number: 10842598
    Abstract: A set of healing abutments includes a first healing abutment and a second healing abutment. The first healing abutment has an upper surface with a first code thereon. The first code is associated with a size of the first healing abutment. The second healing abutment has an upper surface with a second code thereon. The second code is associated with a size of the second healing abutment. The first healing abutment and the second healing abutment have the same size. The first code is different from the second code.
    Type: Grant
    Filed: August 31, 2018
    Date of Patent: November 24, 2020
    Assignee: Biomet 3I, LLC
    Inventors: Zachary B. Suttin, Ross W Towse, Gretchen B Wilson, Miguel Montero
  • Patent number: 10839491
    Abstract: A method of recording an image using a particle microscope includes recording of plural images of an object. Each of the recorded images is associated with image data including intensity values associated with locations in a coordinate system of the recorded image. The method further includes: determining displacements between the coordinate systems of the image data of the recorded images; determining a bounding box of a resulting image based on the determined displacements; and calculating image data of the resulting image based on the intensity values of the image data of the recorded images associated with those locations which are located within the determined bounding box associated with the resulting image based on the determined displacements of the recorded images.
    Type: Grant
    Filed: July 16, 2018
    Date of Patent: November 17, 2020
    Assignee: Carl Zeiss Microscopy GmbH
    Inventors: Luyang Han, Andreas Schmaunz, Martin Edelmann
  • Patent number: 10839201
    Abstract: Embodiments of the present disclosure provide a system and method for using facial recognition and mimicry workflows to train cognitive and emotional empathy. The system and methods comprise the use of physiological measurements (e.g., EEG, etc.) in combinations with facial recognition to detect user affect and modify one or more cognitive screening instruments to further promote a user affect. One or more specific emotions associated with one or more specific negative cognitive bias are targeted to influence affect. One or more specific psychopathology may be treated using an emotional recognition training component within a computerized cognitive-bias modification regimen. The regimen may comprise the identification, targeting, and modification of emotions and may utilize one or more facial inputs, cognitive tasks, facial recognition and facial mimicry protocols to adaptively modify one or more attributes of one or more computerized stimuli or interactions within a computerized platform or platform-product.
    Type: Grant
    Filed: November 12, 2019
    Date of Patent: November 17, 2020
    Assignee: Akili Interactive Labs, Inc.
    Inventors: Jason Johnson, Jason Trees, Elena Cañadas Espinosa
  • Patent number: 10832124
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating descriptions of input images. One of the methods includes obtaining an input image; processing the input image using a first neural network to generate an alternative representation for the input image; and processing the alternative representation for the input image using a second neural network to generate a sequence of a plurality of words in a target natural language that describes the input image.
    Type: Grant
    Filed: August 12, 2019
    Date of Patent: November 10, 2020
    Assignee: Google LLC
    Inventors: Samy Bengio, Oriol Vinyals, Alexander Toshkov Toshev, Dumitru Erhan
  • Patent number: 10832332
    Abstract: A structural analysis computing device may generate a proposed insurance claim and/or generate a proposed insurance quote for an object pictured in a three-dimensional (3D) image. The structural analysis computing device may be coupled to a drone configured to capture exterior images of the object. The structural analysis computing device may include a memory, a user interface, an object sensor configured to capture the 3D image, and a processor in communication with the memory and the object sensor. The processor may access the 3D image including the object, and analyze the 3D images to identify features of the object—such as by inputting the 3D image into a trained machine learning or pattern recognition program. The processor may generate a proposed claim form for a damaged object and/or a proposed quote for an uninsured object, and display the form to a user for their review and/or approval.
    Type: Grant
    Filed: August 24, 2016
    Date of Patent: November 10, 2020
    Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
    Inventors: Timothy J. Spader, George T. Dulee, Jr., Donald Yuhas, Aaron Brucker, Chris Stroh, Jeffrey Mousty
  • Patent number: 10832390
    Abstract: Techniques for atmospheric compensation in satellite imagery that include converting an image including an array of radiance values to an array of surface reflectance values. The conversion is performed in an automated fashion by identifying one or more portions of the image for which the surface reflectance can be estimated and determining the Aerosol Optical Depth (AOD) by iteratively comparing the radiance value captured by the image sensor to a calculated radiance value (based on the known surface reflectance, historical values for other atmospheric parameters, and the AOD) and adjusting the AOD until the calculated radiance value is substantially the same as the captured radiance value.
    Type: Grant
    Filed: June 5, 2018
    Date of Patent: November 10, 2020
    Assignee: DigitalGlobe, Inc.
    Inventor: Fabio Pacifici