Patents Examined by Alex Kok S Liew
  • Patent number: 11462015
    Abstract: According to an embodiment, an ingredient inquiry system includes a personal-information storing unit, an image input unit, an ingredient discriminating unit, an ingredient specifying unit, and a display. The personal-information storing unit stores, about each of a plurality of individuals, personal information for causing restriction about intake of ingredients used in food and drink. The image input unit inputs an image obtained by photographing the food and drink. The ingredient discriminating unit specifies the food and drink based on the image and discriminates the ingredients used in the food and drink. The ingredient specifying unit collates the personal information corresponding to each of the individuals and the ingredients discriminated by the ingredient discriminating unit and specifies the ingredients corresponding to each of the individuals. The display displays a list of the ingredients corresponding to each of the individuals specified by the ingredient specifying unit.
    Type: Grant
    Filed: November 4, 2020
    Date of Patent: October 4, 2022
    Assignee: TOSHIBA TEC KABUSHIKI KAISHA
    Inventor: Shinichi Shimoirisa
  • Patent number: 11462308
    Abstract: A triage routing system is operable to receive a medical scan via a receiver. Inference data for the medical scan is generated by performing an inference function, where the inference function utilizes a computer-vision model trained on a plurality of medical scans. One of a plurality of medical professionals is selected to review the medical scan based on the inference data. Triage routing data that indicates the medical scan and the one of the plurality of medical professionals is generated. The medical scan is transmitted to a client device associated with the one of the plurality of medical professionals for display via a display device in accordance with the triage routing data.
    Type: Grant
    Filed: December 2, 2020
    Date of Patent: October 4, 2022
    Assignee: Enlitic, Inc.
    Inventors: Kevin Lyman, Anthony Upton, Li Yao, Ben Covington
  • Patent number: 11461990
    Abstract: A method and system for image processing is provided. The method for image processing may include: obtaining an image data set, wherein the image data set includes a first set of volume data; and determining, by the at least one processor, a target anatomy of interest based on the first set of volume data. The determining of the target anatomy of interest may include: determining an initial anatomy of interest in the first set of volume data; and editing the initial anatomy of interest to obtain the target anatomy of interest. The target anatomy of interest may include at least one region of interest (ROI) or at least one volume of interest (VOI). The initial anatomy of interest may include at least one ROI or at least one VOI.
    Type: Grant
    Filed: November 2, 2020
    Date of Patent: October 4, 2022
    Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
    Inventors: Yu Xiang, Yang Zhang
  • Patent number: 11461905
    Abstract: Implementations generally relate to determining a kinematic sequence. In some implementations, a method includes obtaining a video of a person performing an action. The method further includes determining from the video a plurality of points associated with the person, where the determining of the plurality of points is performed for each frame of the video. The method further includes converting two-dimensional (2D) coordinates of the plurality of points to three-dimensional (3D) coordinates, where the converting is performed for each frame of the video. The method further includes determining a movement of the plurality of points based at least in part on the 3D coordinates.
    Type: Grant
    Filed: September 20, 2019
    Date of Patent: October 4, 2022
    Assignee: Sony Group Corporation
    Inventors: Jong Hwa Lee, Brent Faust, Kenji Suzuki, Arun Chandrasekar, Joseph Moon, Xihe Zhang
  • Patent number: 11461695
    Abstract: A distributed system for training a classifier is provided. The system comprises machine learning (ML) workers and a parameter server (PS). The PS is configured for parallel processing to provide the model to each of the ML workers, receive model updates from each of the ML workers, and iteratively update the model using each model update. The PS contains gradient datasets associated with a respective ML worker, for storing a model-update-identification (delta-M-ID) indicative of the computed model update and the respective model update, a global dataset that stores, the delta-M-ID, an identification of the ML worker (ML-worker-ID) that computed the model update, and a model version that marks a new model in PS that is computed from merging the model update with a previous model in PS; and a model download dataset that stores the ML-worker-ID and the model version of each transmitted model.
    Type: Grant
    Filed: March 25, 2019
    Date of Patent: October 4, 2022
    Assignee: Huawei Technologies Co., Ltd.
    Inventors: Roman Talyansky, Zach Melamed, Natan Peterfreund, Zuguang Wu
  • Patent number: 11455500
    Abstract: A method of identifying one or more objects in an image file that includes receiving an image file at a first classifier, wherein the image file comprises image metadata that identifies characteristics of the image file. The method includes determining whether the first classifier is trained to identify at least one object in the image file based on a first set of training metadata associated with the first classifier, wherein the first set of training metadata defines a set of characteristics for which the first classifier is trained to identify the at least one object. The method includes identifying the one or more objects in the image file using the first classifier responsive to determining that the first classifier is trained to identify the at least one object.
    Type: Grant
    Filed: December 19, 2019
    Date of Patent: September 27, 2022
    Assignee: INSITU, INC.
    Inventor: Ben Wiltshire
  • Patent number: 11449757
    Abstract: A system and method for non-destructive optical coherence tomography (OCT) is provided. The system includes: an input interface for receiving OCT data including at least a C-scan; a processing unit executable to detect a feature on a surface or subsurface of the object, trained using a training set and configured to: separate the C-scan into A-scans; using a neural network, successively analyze each A-scan to detect the presence of an A-scan feature associated with the object; separate the C-scan into B-scans; segment each of the B-scans to determine thresholds associated with the object; using a neural network, successively analyze each segmented B-scan to detect the presence of an B-scan feature associated with the object; convert the C-scan to one or more two-dimensional representations; and using a neural network, detect the presence of an C-scan feature associated with the object.
    Type: Grant
    Filed: May 16, 2018
    Date of Patent: September 20, 2022
    Inventors: Wallace Trenholm, Mark Alexiuk, Hieu Dang, Siavash Malektaji, Kamal Darchinimaragheh
  • Patent number: 11449964
    Abstract: Provided are an image reconstruction method, a device and a microscopic imaging device. The method includes calculating a gray value at each fiber center in a fiber bundle (04) in a reconstructed image according to a gray value at a center position of each fiber, determined in one or more sample images; performing a spatial interpolation using the gray value at the fiber center to obtain gray values of other pixel points in the fiber bundle (04) in the reconstructed image, so as to form the reconstructed image. This image reconstruction method greatly accelerates the speed of image reconstruction, and is helpful to remove the grating (022) and fiber bundle (04) cellular grid residues in the reconstructed image and improve the imaging quality of the reconstructed image.
    Type: Grant
    Filed: April 16, 2020
    Date of Patent: September 20, 2022
    Assignee: SUZHOU MICROVIEW MEDICAL TECHNOLOGIES CO., LTD.
    Inventors: Jinhua Shao, Jin Sun, Houli Duan, Qiang Wang
  • Patent number: 11443416
    Abstract: Various embodiments are generally directed to techniques for image content extraction. Some embodiments include extracting contextually structured data from document images, such as by automatically identifying document layout, document data, document metadata, and/or correlations therebetween in a document image, for instance. Several embodiments include extracting contextually structured data from table images, such as gridded and non-gridded tables. For example, the contents of cells may be extracted from a table image along with structural context including the corresponding row and column information. Many embodiments are directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. Several embodiments are directed to automatically identifying and associating document metadata with corresponding document data in a document image to generate a machine-facilitated annotation of the document image.
    Type: Grant
    Filed: August 9, 2021
    Date of Patent: September 13, 2022
    Assignee: SAS INSTITUTE INC.
    Inventors: Yi Liao, Charles Franklin Board, William Robert Nadolski, David James Wheaton, Heather Michelle Goodykoontz, Adheesha Sanjuaya Arangala, Karthik Nakkeeran
  • Patent number: 11443433
    Abstract: Quantification of body composition plays an important role in many clinical and research applications. Radiologic imaging techniques such as Dual-energy X-ray absorptiometry, magnetic resonance imaging (MRI), and computed tomography (CT) imaging make accurate quantification of the body composition possible. This disclosure presents an automated, efficient, accurate, and practical body composition quantification method for low dose CT images; method for quantification of disease from images; and methods for implementing virtual landmarks.
    Type: Grant
    Filed: February 11, 2019
    Date of Patent: September 13, 2022
    Assignee: The Trustees of the University of Pennsylvania
    Inventors: Jayaram K. Udupa, Tiange Liu, Drew A. Torigian, Dewey Odhner, Yubing Tong
  • Patent number: 11435299
    Abstract: Embodiments include systems and methods for determining properties of a formation including disposing a core sample of the formation within a core holder assembly, applying pressures to the core sample, rotating the core sample about a center longitudinal axis of the core holder assembly, obtaining a series of computed tomography images of the core sample at different rotation increments of the core sample, generating, based at least partially on the obtained series of computed tomography images of the core sample, a 3D representation of the core sample utilizing a radon transform, measuring a displacement of at least one characteristic of the core sample due to the applied pressures, and based at least partially on the measured displacement, determining at least one property of the formation as a function of the applied pressures.
    Type: Grant
    Filed: August 30, 2019
    Date of Patent: September 6, 2022
    Assignee: Baker Hughes Oilfield Operations LLC
    Inventor: Nicholas Drenzek
  • Patent number: 11430109
    Abstract: Various tray inserts, methods and algorithm for certifying candidate trays for use in an X-ray scanner system are discussed. The tray insert includes at least a body having multiple parts positioned for generation of image quality metrics for tray impact evaluation in; a first cover and a second cover disposed at opposite ends to fix and secure the body. The method including running an algorithm to control an X-ray system to collect baseline image data from certified trays, collecting candidate tray image data, extracting image quality metrics for both the baseline image data and the candidate tray image data, and performing statistical analysis using and comparing image quality metrics from the baseline image data and the candidate tray image data to certify the candidate tray based on the statistical and comparison results.
    Type: Grant
    Filed: July 1, 2021
    Date of Patent: August 30, 2022
    Assignee: BATTELLE MEMORIAL INSTITUTE
    Inventors: Joseph Matthew Cochran, Matthew Robert Aderholdt, Jesse Thomas Buxton, Laura Lee Strang Aume, John Tatarowicz, Rodney Hallgren, Lucinda Flaherty, Andrew Aceti
  • Patent number: 11430267
    Abstract: A method which includes detecting a user input based on a gesture, acquiring image data and performing segmentation based on the acquired image data, and determining an object with an outline. A reference point is determined based on the object, a distance between each of a number of points located on the outline of the object and the reference point is determined and a measured distance profile is generated based on these distances. A gesture is determined based on the measured distance profile and an output signal is generated and output based on the gesture determined. A device for detecting a user input based on a gesture including an acquisition unit, a segmentation unit, a profile computing unit, an allocation unit, and an output unit (8).
    Type: Grant
    Filed: June 18, 2018
    Date of Patent: August 30, 2022
    Inventors: Bernd Ette, Volker Wintsche, Christian Gaida
  • Patent number: 11429070
    Abstract: The disclosure discloses an inhomogeneous sample equalization method and system for a product assembly process. The method includes the following steps of: A: calculating a similarity among different samples; B: constructing a fuzzy compatibility matrix S for representing the similarity among all the samples, and constructing a fuzzy compatibility space X with different granule layers through the fuzzy compatibility matrix S; C: based on a granular calculating mode, screening out a granule layer with a maximum comprehensive value of an information increment and the similarity among the samples from the fuzzy compatible space X to serve as an optimal granule layer; and D: carrying out equalization processing on the sample of the optimal granule layer.
    Type: Grant
    Filed: December 26, 2020
    Date of Patent: August 30, 2022
    Inventors: Jiewu Leng, Man Zhou, Guolei Ruan, Qiang Liu, Ding Zhang, Duxi Yan
  • Patent number: 11423603
    Abstract: Aspects of the subject disclosure may include, for example, a method comprising: receiving, by a processing system including a processor, an input three-dimensional dataset comprising a first plurality of two-dimensional images of all or a portion of a subject; applying, by the processing system, bias field correction to the input three-dimensional dataset to generate a corrected three-dimensional dataset comprising a second plurality of two-dimensional images; and generating, by the processing system, a labeled three-dimensional dataset comprising a third plurality of two-dimensional images, wherein the labeled three-dimensional dataset further comprises one or more labels indicating an anatomical structure, and wherein the labeled three-dimensional dataset is generated via a convolutional neural network based upon the corrected three-dimensional dataset and based upon a previously trained three-dimensional dataset. Additional embodiments are disclosed.
    Type: Grant
    Filed: December 17, 2020
    Date of Patent: August 23, 2022
    Assignees: THE BOARD OF TRUSTEES OF THE UNIVERSITY OF ILLINOIS, OSF Healthcare
    Inventors: Bradley P. Sutton, Xi Peng, Matthew Bramlet, Kevin Urbain
  • Patent number: 11416996
    Abstract: The present application discloses a method of adjusting a parameter, the parameter being used to derive a physiological characteristic of an individual from an image of the user, the method comprising the steps of: obtaining the parameter for the individual; obtaining a corresponding parameter for a plurality of other individuals within a cohort of the individual; comparing the parameter for the individual with a statistically significant parameter for the plurality of other individuals; and adjusting the parameter for the individual in accordance with the difference between the parameter for the individual and the statistically significant parameter for the plurality of other individuals.
    Type: Grant
    Filed: June 19, 2018
    Date of Patent: August 16, 2022
    Assignee: XIM LIMITED
    Inventors: Laurence Pearce, Samuel Pearce
  • Patent number: 11409984
    Abstract: A system and a method for image searching. The method may include obtaining a target image and a plurality of images, wherein at least one similar image to the target image is to be searched from the plurality of images. The method may include determining a target feature vector of the target image and a feature vector of each of the plurality of images, each of the target feature vector and the feature vectors being an N-dimensional feature vector in an N-dimensional feature space. The method may include determining a search region in the N-dimensional feature space. The method may include determining one or more candidate images, the feature vector of each candidate image being within the search region. The method may further include determining the at least one similar image to the target image among the one or more candidate images.
    Type: Grant
    Filed: November 5, 2020
    Date of Patent: August 9, 2022
    Assignee: ZHEJIANG DAHUA TECHNOLOGY CO., LTD.
    Inventor: Chengxiang Lu
  • Patent number: 11392797
    Abstract: An approach is provided for filtering imagery to train a feature detection model. The approach involves, for example, receiving a plurality of images. The plurality of images is classified as depicting a feature of interest. The approach also involves providing data for presenting a bulk arrangement of at least one subset of the plurality of images, wherein the bulk arrangement is based on a characteristic of the plurality of images (e.g., detection confidence, position, size, visual characteristic, etc. of the detected feature). The approach further involves initiating a filtering of the plurality of images based on the bulk arrangement and providing the filtered plurality of images as training data to train the feature detection model.
    Type: Grant
    Filed: January 31, 2020
    Date of Patent: July 19, 2022
    Assignee: HERE Global B.V.
    Inventor: Alastair B. Sutherland
  • Patent number: 11393115
    Abstract: An example method for performing depth measurements with an image sensor comprises, for at least a first pixel, performing one or more continuous-wave phase measurements for the first pixel and performing a coded-modulation measurement for the first pixel. The method further comprises determining a mask value for the first pixel, based on the coded-modulation measurement, and applying the mask value to a distance value calculated from the one or more continuous-wave phase measurements, to obtain a masked distance value for the first pixel that has no ambiguity due to phase wrapping.
    Type: Grant
    Filed: November 27, 2018
    Date of Patent: July 19, 2022
    Assignee: Infineon Technologies AG
    Inventors: Hannes Plank, Armin Schoenlieb
  • Patent number: 11385254
    Abstract: A movement distance calculation device includes: a first movement distance calculation unit which calculates a first movement distance of a movable body based on plural rotation speeds of plural wheels of the movable body and a steering angle of the movable body; a vector detection unit which detects a movement vector of an object included in the acquired images as defined herein; a second movement distance calculation unit which calculates a second movement distance of the movable body based on the movement vector; a first reliability determining unit which determines reliability of the calculated first movement distance as defined herein; a second reliability determining unit which determines reliability of the calculated second movement distance as defined herein; and a movement distance determining unit which determines a movement distance using at least one of the calculated first movement distance and the calculated second movement distance as defined herein.
    Type: Grant
    Filed: November 25, 2019
    Date of Patent: July 12, 2022
    Assignee: DENSO TEN Limited
    Inventors: Hiroshi Ebihara, Tetsuo Yamamoto, Hiroki Morinaga