Patents Examined by Sam Bhattacharya
  • Patent number: 11328153
    Abstract: Systems, devices, media and methods are presented for generating biometric image data. In one example, a system accesses a set of images stored on a mobile computing device. The system identifies one or more faces depicted in the set of images and generates a set of face images from the set of images. The system determines a set of positions of a set of facial features depicted within the set of face images and generates a set of biometric reference maps based on the set of positions. The system transmits the set of face images to a reference server and stores the set of biometric reference maps on the mobile computing device.
    Type: Grant
    Filed: April 25, 2019
    Date of Patent: May 10, 2022
    Assignee: Snap Inc.
    Inventors: Jonathan Mumm, Donald Holly, Faisal Alqadi, Jonathan Brody
  • Patent number: 11330114
    Abstract: A quota management method includes: sending, by a client, a charging request to a server, where the charging request carries quota request information and information of quota usage; receiving, by the client, a granted quota and indication information from the server; processing, by the client, the granted quota and a remaining quota on the client based on the indication information, where the remaining quota is a difference between a quota granted by the server last time and the quota usage in the charging request; and using, by the client, a processed quota, and reporting information of usage of the processed quota when a reporting condition is met.
    Type: Grant
    Filed: June 26, 2019
    Date of Patent: May 10, 2022
    Assignee: Huawei Technologies Co., Ltd.
    Inventor: Xiaoqian Chai
  • Patent number: 11321793
    Abstract: The embodiments disclose a method including providing a safe encounter mobile app for advising an individual on critical choices during an event with law enforcement personnel, clicking a Safe Encounter icon to activate the safe encounter mobile app, starting at least one safe encounter mobile app feature automatically upon starting the safe encounter mobile app, sending an Alert Text to persons on a predetermined list of individuals during an event with law enforcement personnel, displaying the user's legal Rights during an event with law enforcement personnel, and displaying methods to be calm during an event with law enforcement personnel.
    Type: Grant
    Filed: January 15, 2021
    Date of Patent: May 3, 2022
    Inventors: Everett Glenn, Kwaku Eason, Jeff Freeman
  • Patent number: 11315261
    Abstract: An image processing method includes acquiring an image frame; tracking a face region of a user based on first prior information obtained from at least one previous frame of the image frame; based on a determination that tracking of the face region based on the first prior information has failed, setting a scan region in the image frame based on second prior information obtained from the at least one previous frame; and detecting the face region in the image frame based on the scan region.
    Type: Grant
    Filed: June 2, 2020
    Date of Patent: April 26, 2022
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Dongwoo Kang, Jingu Heo, Byong Min Kang, Dong Kyung Nam
  • Patent number: 11302028
    Abstract: A method for monocular 3D object perception is described. The method includes sampling multiple, stochastic latent variables from a learned latent feature distribution of an RGB image for a 2D object detected in the RGB image. The method also includes lifting a 3D proposal for each stochastic latent variable sampled for the detected 2D object. The method further includes selecting a 3D proposal for the detected 2D object using a proposal selection algorithm to reduce 3D proposal lifting overlap. The method also includes planning a trajectory of an ego vehicle according to a 3D location and pose of the 2D object according to the selected 3D proposal.
    Type: Grant
    Filed: January 24, 2020
    Date of Patent: April 12, 2022
    Assignee: TOYOTA RESEARCH INSTITUTE, INC.
    Inventors: Yu Yao, Wadim Kehl, Adrien Gaidon
  • Patent number: 11302019
    Abstract: An information processing apparatus includes a processor configured to acquire three-dimensional-shape data that is data for a three-dimensional body and that represents a shape of a three-dimensional object, set in advance a feature requirement that indicates one or more features concerning a cross section of the three-dimensional body, detect one or more features that satisfy the feature requirement in the three-dimensional-shape data, and output information regarding the one or more features detected in the three-dimensional-shape data.
    Type: Grant
    Filed: June 24, 2020
    Date of Patent: April 12, 2022
    Assignee: FUJIFILM Business Innovation Corp.
    Inventors: Yuki Yokoyama, Ryosuke Higashikata, Tomonari Takahashi, Torahiko Kanda
  • Patent number: 11295475
    Abstract: A method for estimating a pose of an object includes: receiving a plurality of images of the object captured from multiple viewpoints with respect to the object; initializing a current pose of the object based on computing an initial estimated pose of the object from at least one of the plurality of images; predicting a plurality of 2-D keypoints associated with the object from each of the plurality of images; and computing an updated pose that minimizes a cost function based on a plurality of differences between the 2-D keypoints and a plurality of 3-D keypoints associated with a 3-D model of the object as arranged in accordance with the current pose, and as projected to each of the viewpoints.
    Type: Grant
    Filed: January 29, 2021
    Date of Patent: April 5, 2022
    Assignee: BOSTON POLARIMETRICS, INC.
    Inventors: Agastya Kalra, Achuta Kadambi, Kartik Venkataraman, Vage Taamazyan
  • Patent number: 11295419
    Abstract: The present disclosure provides a distortion correction method, a distortion correction apparatus, an electronic device, and a computer-readable storage medium, the distortion correction method including: performing a line detection on the distorted image to obtain multiple straight lines in the distorted image; grouping the straight lines into multiple groups of straight lines; selecting optimal boundary lines of the distorted image from the groups of straight lines; determining multiple initial vertexes of the distorted image according to intersection points between the optimal boundary lines; and performing a perspective transformation processing on the distorted image according to the initial vertexes to obtain a corrected image.
    Type: Grant
    Filed: July 31, 2020
    Date of Patent: April 5, 2022
    Assignee: BOE TECHNOLOGY GROUP CO., LTD.
    Inventors: Ruibin Xue, Tingting Wang, Zhenxing Hao
  • Patent number: 11288554
    Abstract: A determination method includes: obtaining first information indicating positions and shapes of one or more objects detected by a first detection device, and second information indicating positions and shapes of one or more objects detected by a second detection device determined in advance as a reference detection device; extracting a reference object that is a common object from the one or more objects detected by the first detection device and the one or more objects detected by the second detection device based on the first information and the second information, the common object being detected by the detection devices with a time difference within a predetermined range; comparing a position of the reference object indicated by the first information to the position of the reference object indicated by the second information; and determining whether the first detection device is operating normally.
    Type: Grant
    Filed: September 16, 2020
    Date of Patent: March 29, 2022
    Assignee: PANASONIC INTELLECTUAL PROPERTY CORPORATION OF AMERICA
    Inventor: Shinji Ohyama
  • Patent number: 11281898
    Abstract: Embodiments of this disclosure provide an arm action identification method and apparatus and an image processing device. A human body detection is performed on an image to obtain multiple key points of the human body in the image. An arm action is identified to be an upward action or a downward action by using a shoulder key point, an elbow key point and a wrist key point in the multiple key points. Arm actions indicative of upward, downward, or forward, actions may be identified based upon, for example, lifting, putting down, holding forward, actions, by using the key points of the human body, thereby achieving computer-level action identification, and lowering complexity of computation.
    Type: Grant
    Filed: May 28, 2020
    Date of Patent: March 22, 2022
    Assignee: FUJITSU LIMITED
    Inventors: Lan Ding, Zhiming Tan
  • Patent number: 11276185
    Abstract: In one embodiment, a target tracking method includes: receiving a current frame of picture including a target object; determining, based on a drift determining model, whether a tracker drifts for tracking of the target object in the current frame of picture, where the drift determining model is obtained through modeling based on largest values of responses values of a training sample used to train the drift determining model, where the training sample is collected from a training picture that includes the target object, where the response value of the sample is a value indicating a probability that the training sample is the target object in the training picture; and outputting a tracking drift result, where the tracking drift result includes: drift is generated for the tracking of the target object, or no drift is generated for the tracking of the target object.
    Type: Grant
    Filed: June 26, 2020
    Date of Patent: March 15, 2022
    Assignee: HUAWEI TECHNOLOGIES CO., LTD.
    Inventors: Zhigang Li, Jianzhuang Liu, Li Qian
  • Patent number: 11270147
    Abstract: A mechanism is provided to implement an action-object interaction detection mechanism for recognizing actions in cluttered video scenes. An object bounding box is computed around an object of interest identified in a corresponding label in an initial frame where the object of interest appears in the frame. The object bounding box is propagated from the initial frame to a subsequent frame. For the initial frame and the subsequent frame: the object bounding boxes of the initial frame and the subsequent frame are refined and cropped based on the associated refined object bounding boxes. The set of cropped frames are processed to determine a probability that an action that is to be verified from the corresponding label is being performed. Responsive to determining the probability is equal to or exceeds a verification threshold, a confirmation is provided that the action-object interaction video performs the action that is to be verified.
    Type: Grant
    Filed: October 5, 2020
    Date of Patent: March 8, 2022
    Assignee: International Business Machines Corporation
    Inventors: Anupama Jagannathan, Anne Elizabeth Gattiker
  • Patent number: 11263825
    Abstract: Aggregating data and storing information in connection with a digital sticky note that can be displayed in connection with a file. A method includes generating a digital sticky note to be stored in connection with a file. The method includes storing a coordinate location in connection with the digital sticky note, wherein the coordinate location indicates where the digital sticky note should be displayed within the file. The method includes aggregating data to be stored in connection with the digital sticky note, wherein the data comprises information applicable to the coordinate location.
    Type: Grant
    Filed: June 12, 2020
    Date of Patent: March 1, 2022
    Inventor: Jeremiah Timberline Barker
  • Patent number: 11256944
    Abstract: Systems for image evaluation and dynamic cropping are provided. In some examples, a system, may receive an instrument or image of an instrument. Identifying information may be extracted from the instrument or image of the instrument. Based on the extracted identifying information, a check/check image profile may be retrieved. In some examples, expected size and/or shape data may be extracted from the check/check image profile. The extracted expected size and/or shape data may be compared to size and/or shape data from the received instrument or image of the instrument to identify any anomalies (e.g., to determine whether the expected size and/or shape data matches the size and/or shape data of the received instrument or image of the instrument. If the expected size and/or shape data does not match size and/or shape data from the received instrument or image of the instrument, the instrument or image of the instrument may be programmatically modified and a modified image of the instrument may be generated.
    Type: Grant
    Filed: September 25, 2020
    Date of Patent: February 22, 2022
    Assignee: Bank of America Corporation
    Inventors: Robert E. Mills, Jr., Murali Santhanam, Kerry Kurt Simpkins, John B. Hall, Michael J. Pepe, Jr., Jasher David Fowles, Jeanne M. Moulton
  • Patent number: 11250296
    Abstract: In various examples, object detections of a machine learning model are leveraged to automatically generate new ground truth data for images captured at different perspectives. The machine learning model may generate a prediction of a detected object at the different perspective, and an object tracking algorithm may be used to track the object through other images in a sequence of images where the machine learning model may not have detected the object. New ground truth data may be generated as a result of the object tracking algorithms outputs, and the new ground truth data may be used to retrain or update the machine learning model, train a different machine learning model, or increase the robustness of a ground truth data set that may be used for training machine learning models from various perspectives.
    Type: Grant
    Filed: July 24, 2019
    Date of Patent: February 15, 2022
    Assignee: NVIDIA Corporation
    Inventor: Eric Todd Brower
  • Patent number: 11238578
    Abstract: A foil-stamped print inspection apparatus includes: a region selecting unit that selects a foil-stamped region based on data for inspection for a printed material; and an inspection unit that inspects a foil-stamped state of the printed material and determines that foil is unsatisfactory if the foil-stamped region in an image acquired by reading the printed material has a gray level that falls outside a predetermined range. A method of inspecting foil-stamped print includes: a region selecting step of selecting a foil-stamped region based on data for inspection for a printed material; and an inspecting step of inspecting a foil-stamped state of the printed material and determining that foil is unsatisfactory if the foil-stamped region in an image acquired by reading the printed material has a gray level that falls outside a predetermined range.
    Type: Grant
    Filed: December 6, 2019
    Date of Patent: February 1, 2022
    Assignee: KONICA MINOLTA, INC.
    Inventor: Koji Kita
  • Patent number: 11238311
    Abstract: A method for image classification includes acquiring a to-be-classified image and inputting the to-be-classified image to a trained image classification model, the trained image classification model includes a localization segmentation sub-network, an alignment sub-network, and a classification sub-network, the alignment sub-network is formulized as a valve linkage function, the image classification model is obtained, and in a forward-propagation phase, an output of the valve linkage function is an aligned image; in a backward-propagation phase, the output of the valve linkage function is a function; subjecting the to-be-classified image through the localization segmentation sub-network for locating and segmenting a target object of the to-be-classified image to obtain a segmented image; subjecting the segmented image through the alignment sub-network, the alignment sub-network aligning the target object to obtain an aligned image; and subjecting the aligned image through the classification sub-network for fi
    Type: Grant
    Filed: June 8, 2018
    Date of Patent: February 1, 2022
    Assignee: Shenzhen University
    Inventors: Di Lin, Hui Huang
  • Patent number: 11232539
    Abstract: A method includes exciting, at a first time period, a first set of pixels in an excitation array, wherein the first set of pixels comprises more than one pixel, and no pixel in the first set of pixels is adjacent to another pixel in the first set of pixels. The method also includes exciting, at a second time period, a second set of pixels in the excitation array wherein the second set of pixels comprises more than one pixel, and no pixel in the second set of pixels is adjacent to another pixel in the second set of pixels. The method retrieves excitation data, wherein the excitation data is comprised of data from the first set of pixels and data from the second set of pixels, and the excitation data is capable of being combined to reconstruct an image of a target object for rendering on a display.
    Type: Grant
    Filed: November 27, 2019
    Date of Patent: January 25, 2022
    Assignee: THE BOEING COMPANY
    Inventor: Morteza Safai
  • Patent number: 11227189
    Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of receiving a digital image comprising multiple items; determining an embedding for the digital image using a machine learning algorithm trained on one or more combined digital images, the combined digital image comprising one or more annotated digital images; identifying an item of the multiple items in the digital image; and facilitating an alteration of a GUI on an electronic device in response to identifying the item in the digital image.
    Type: Grant
    Filed: July 17, 2019
    Date of Patent: January 18, 2022
    Assignee: WALMART APOLLO, LLC
    Inventors: Shreyansh Prakash Gandhi, Alessandro Magnani, Theban Stanley, Qian Li, Abilash Amarthaluri, Abon Chaudhuri, Behzad Ahmadi, Omer Ovenc, Venkatesh Kandaswamy
  • Patent number: 11222238
    Abstract: Methods and systems for object detection include training dataset-specific object detectors using respective annotated datasets, each of the annotated datasets including annotations for a respective set of one or more object classes. The annotated datasets are cross-annotated using the dataset-specific object detectors. A unified object detector is trained, using the cross-annotated datasets, to detect all of the object classes of the annotated datasets. Objects are detected in an input image using the unified object detector.
    Type: Grant
    Filed: November 10, 2020
    Date of Patent: January 11, 2022
    Inventors: Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Xiangyun Zhao