Patents Examined by Andrew M Moyer
  • Patent number: 12033311
    Abstract: With respect to an inference method performed by at least one processor, the method includes inputting, by the at least one processor, into a learned model, second non-processed image data and second parameter data of a simulator, and inferring, by the at least one processor using the learned model, second processed image data. The learned model has been trained so that first processed image data, obtained as an output in response to first non-processed image data and first parameter data of the simulator for the first non-processed image data being input, approaches first simulator processed image data, obtained as a result of the simulator for the first non-processed image data by using the first parameter data.
    Type: Grant
    Filed: March 2, 2021
    Date of Patent: July 9, 2024
    Assignee: Preferred Networks, Inc.
    Inventors: Kosuke Nakago, Daisuke Motoki, Masaki Watanabe, Tomoki Komatsu
  • Patent number: 12008732
    Abstract: A method for super-resolution of block-compressed texture is provided. The method includes receiving a first texture block of a first block size. Based on application of a first block compression (BC) scheme on the received first texture block, coded-texture values are generated in a compressed domain. Further, a first machine learning model is applied on the generated coded-texture values to generate super-resolution coded-texture values in the compressed domain. The generated super-resolution coded-texture values are processed to generate a second texture block of a second block size. The second block size is greater than the first block size.
    Type: Grant
    Filed: March 30, 2021
    Date of Patent: June 11, 2024
    Inventors: Ming-Chang Liu, Liyu Gong, Ko-Kai Albert Huang, Joshua Scott Hobson
  • Patent number: 12002272
    Abstract: A method for classifying cells densities by cell images being input into artificial computer intelligence obtains positional information of all central points of all groups of first encoding features generated when training a model of convolutional neural network and ranges of densities of images of biological cells represented by different central points. The method inputs a test image of the biological cells into a trained model of the convolutional neural network to encode the test image, to obtain a second encoding feature. The method also determines a central point nearest to the second encoding feature according to the positional information. The method determines a range of densities of the test image according to the ranges of densities of the images represented by different central points and the central point nearest to the second encoding feature. An electronic device and a non-transitory storage medium are also disclosed.
    Type: Grant
    Filed: December 29, 2021
    Date of Patent: June 4, 2024
    Inventors: Wan-Jhen Lee, Chih-Te Lu, Chin-Pin Kuo
  • Patent number: 11995848
    Abstract: There is provided a system and method of examination of a semiconductor specimen, comprising: obtaining a sequence of frames of an area of the specimen acquired by an electron beam tool configured to scan the area from a plurality of directions, the sequence comprising a plurality of sets of frames each acquired from a respective direction; and registering the plurality of sets of frames and generating an image of the specimen based on result of the registration, comprising: performing, for each direction, a first registration among the set of frames acquired therefrom, and combining the registered set of frames to generate a first composite frame, giving rise to a plurality of first composite frames respectively corresponding to the plurality of directions; and performing a second registration among the plurality of first composite frames, and combining the registered plurality of first composite frames to generate the image of the specimen.
    Type: Grant
    Filed: March 22, 2021
    Date of Patent: May 28, 2024
    Assignee: Applied Materials Israel Ltd.
    Inventors: David Uliel, Yan Avniel, Bobin Mathew Skaria, Oz Fox-Kahana, Gal Daniel Gutterman, Atai Baldinger, Murad Muslimany, Erez Lidor
  • Patent number: 11995868
    Abstract: Disclosed herein is an image processing device including an input information acquiring part that receives a user operation relating to an image displayed on a displaying device, and an image displaying part that, when the input information acquiring part receives an operation for specifying a place by a user, causes the displaying device to display thereon an image of the place. The image displaying part further causes an icon for floor number selection for selecting a floor number of a building currently displayed to be displayed and, when the input information acquiring part receives an operation, which is performed on the icon for floor number selection, for selecting another floor, changes display such that an image of the selected floor appears from a direction same as a direction corresponding to the selected floor in a vertical positional relation between the selected floor and a floor currently displayed.
    Type: Grant
    Filed: April 1, 2020
    Date of Patent: May 28, 2024
    Inventor: Junichi Muramoto
  • Patent number: 11989864
    Abstract: A method for processing an image includes: creating M first image sets based on M image frames to be processed; determining a fusion weight for each sub-image located in each layer in each first image set based on brightness information of each image frame; fusing sub-images located in each same layer in the M first image sets based on the fusion weight, to obtain N fused sub-images arranged in layers based on the preset order; adjusting a brightness of at least one fused sub-image of the N fused sub-images based on a preset brightness adjustment parameter; and obtaining a target image based on the fused sub-image after adjustment.
    Type: Grant
    Filed: October 30, 2021
    Date of Patent: May 21, 2024
    Inventor: Peng Zhang
  • Patent number: 11991487
    Abstract: In an embodiment, a method includes receiving and processing a first color image by an encoder. The first color image includes a first portion of the first color image and a second portion of the first color image located at different locations of the first color image. The encoder is configured to output at least one first feature map including fused global information and local information such that whether a color consistency relationship between the first portion of the first color image and the second portion of the first color image exists is encoded into the fused global information and local information.
    Type: Grant
    Filed: November 29, 2021
    Date of Patent: May 21, 2024
    Inventors: Zibo Meng, Chiuman Ho
  • Patent number: 11983888
    Abstract: This image change detection device includes a subspace updating unit that, when a determination unit determines that there has been no change, updates a first subspace by rotating the first subspace so that the first subspace approaches a second subspace. When the determination unit determines that there has been no change, a degree-of-change calculating unit calculates the degree of change between the first subspace updated by the subspace updating unit and a second subspace whose bases are left singular vectors of an image in a change detection period next to a change detection period.
    Type: Grant
    Filed: December 30, 2021
    Date of Patent: May 14, 2024
    Inventors: Ryoma Yataka, Masashi Shiraishi
  • Patent number: 11983892
    Abstract: An information processing apparatus acquires a plurality of images that is based on image capturing performed by a plurality of imaging apparatuses, acquires three-dimensional shape data of an object which is generated based on the plurality of images and states of the plurality of imaging apparatuses obtained at a time point earlier than a time point of the image capturing, detects that a state of any one of the plurality of imaging apparatuses obtained at a time point of the image capturing is different from a state thereof obtained at a time point earlier than a time point of the image capturing, based on the acquired plurality of images and the acquired three-dimensional shape data, and outputs information that is based on a result of the detection.
    Type: Grant
    Filed: July 7, 2020
    Date of Patent: May 14, 2024
    Assignee: Canon Kabushiki Kaisha
    Inventor: Yasufumi Takama
  • Patent number: 11948328
    Abstract: An image-processing device that includes at least one processor which is configured to: set discrete measurement regions in a standard image and a reference image selected from images acquired in a time series manner and calculate motion vectors in the respective measurement regions; set a region of interest in the standard image; select, from the calculated motion vectors, the motion vectors in the set region of interest; estimate a homographic-transformation matrix that represents a motion in the region of interest by using the selected motion vectors; evaluate an error in the homographic-transformation matrix on the basis of the estimated homographic-transformation matrix and the calculated motion vectors; and set, on the basis of the evaluation result for the homographic-transformation matrix estimated on the basis of a first region of interest, a second region of interest a size of which is increased as compared with that of the first region of interest.
    Type: Grant
    Filed: July 2, 2021
    Date of Patent: April 2, 2024
    Inventors: Kosuke Kajimura, Atsuro Okazawa
  • Patent number: 11948280
    Abstract: A method and system for multi-frame contextual attention are provided. The method includes obtaining a reference frame to be processed, identifying context frames with respect to the reference frame, and producing a refined reference frame by processing the obtained reference frame based on the context frames.
    Type: Grant
    Filed: April 28, 2020
    Date of Patent: April 2, 2024
    Assignee: Samsung Electronics Co., Ltd
    Inventors: Mostafa El-Khamy, Ryan Szeto, Jungwon Lee
  • Patent number: 11922610
    Abstract: A multi-eye camera system includes multi-eye photographing camera heads 2 and image processing device 3 to which a plurality of the multi-eye photographing camera heads 2 are connected. Each of the multi-eye photographing camera heads 2 is provided with partial image acquiring part 24, parameter memory part 23 and image correcting part 26. Image processing device 3 is provided with input processing part 31, resizing processing part 32 and whole image memory 33.
    Type: Grant
    Filed: March 22, 2019
    Date of Patent: March 5, 2024
    Assignee: KAMUY Innovation Corporation
    Inventors: Takashi Masuda, Katsuji Matsuura
  • Patent number: 11900567
    Abstract: An image processing method comprises training an initial network to obtain a first network. The method also comprises training the first network to obtain a second network. The method also comprises training the second network to obtain a third network. The method also comprises processing an original image according to the third network in response to receiving an image processing instruction, to obtain a plurality of target images from the original image.
    Type: Grant
    Filed: April 30, 2021
    Date of Patent: February 13, 2024
    Inventors: Kaihao Zhang, Wenhan Luo, Hongdong Li
  • Patent number: 11887560
    Abstract: A handheld imaging device has a data receiver that is configured to receive reference encoded image data. The data includes reference code values, which are encoded by an external coding system. The reference code values represent reference gray levels, which are being selected using a reference grayscale display function that is based on perceptual non-linearity of human vision adapted at different light levels to spatial frequencies. The imaging device also has a data converter that is configured to access a code mapping between the reference code values and device-specific code values of the imaging device. The device-specific code values are configured to produce gray levels that are specific to the imaging device. Based on the code mapping, the data converter is configured to transcode the reference encoded image data into device-specific image data, which is encoded with the device-specific code values.
    Type: Grant
    Filed: December 7, 2022
    Date of Patent: January 30, 2024
    Assignee: Dolby Laboratories Licensing Corporation
    Inventors: Jon Scott Miller, Scott Daly, Mahdi Nezamabadi, Robin Atkins
  • Patent number: 11887273
    Abstract: A post capture imagery processing system is provided. The system is for use with aerial imagery and includes a server having a processor and a memory and a software application providing instruction to the server to process the captured aerial imagery, such as spherical imagery. The server further includes instructions to geo-rectify the spherical imagery. The geo rectifying of the spherical imagery may include one of use of a third party GIS map to associate corresponding data with the spherical imagery in order to produce a geo-referenced spherical image, or calculate the geo-references by a software application performing particular operations on the server.
    Type: Grant
    Filed: November 21, 2022
    Date of Patent: January 30, 2024
    Assignee: Aerial Sphere, LLC
    Inventors: Dennis J. Vegh, John C. Femiani, Michael Katic, Anshuman Razdan
  • Patent number: 11881013
    Abstract: 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. One aspect of the video system according to the present invention includes an imaging device and a video processing device. The imaging device includes an imaging unit configured to generate video data by imaging, a front side NN unit including multiple layers of neural networks from an input layer to a predetermined intermediate hidden layer (hereinafter referred to as “intermediate hidden layer”) that are configured to perform recognition processing of the video data; and an imaging side control unit configured to transmit an output of the intermediate hidden layer of the front side NN unit (hereinafter referred to as “intermediate feature quantity”).
    Type: Grant
    Filed: March 20, 2019
    Date of Patent: January 23, 2024
    Inventor: Takaomi Kanda
  • Patent number: 11871996
    Abstract: A spine measurement system comprises an optical measurement probe, one or more targets, a fluoroscope, and a remote station. A-P and lateral images of the spine are taken using the fluoroscope and provided to the remote station. The remote station includes computer vision that can identify endplates and pedicle screws in the spine. The computer vision in the remote station is further used to identify vertebra and bone landmarks of the spine. The remote station can generate quantitative measurement data such as Cobb angles and axial rotation of the spine from the fluoroscope images that correspond to the spine deformity. The optical measurement probe can send images of the spine with pedicle screw extenders extending from the pedicle screws to the remote station. The remotes station using computer vision can provide spine metrics in real-time by tracking position of the pedicle screw extenders.
    Type: Grant
    Filed: December 11, 2019
    Date of Patent: January 16, 2024
    Assignee: Orthosensor, Inc.
    Inventors: Erik Herrmann, Scott Clegg
  • Patent number: 11861816
    Abstract: A system and a method for detecting image forgery through a convolutional neural network are capable of detecting image manipulation of compressed and/or color images. The system comprises a manipulated feature pre-processing unit applying an input image to a high-pass filter to enhance features due to image forgery; a manipulated feature extraction unit extracting image manipulated feature information from the image with the enhanced features through a pre-trained convolutional neural network; a feature refining unit refining the extracted image manipulated feature information; and a manipulation classifying unit determining the image forgery based on the image manipulated feature information refined by the feature refining unit.
    Type: Grant
    Filed: October 18, 2019
    Date of Patent: January 2, 2024
    Inventors: Hyeon-gi Kim, Rokkyu Lee
  • Patent number: 11853891
    Abstract: Method and system with federated learning model for health care applications are disclosed. The system for federated learning comprises multiple edge devices of end users, one or more federated learner update repository, and one or more cloud. Each edge device comprises a federated learner model, configured to send tensors to federated learner update repository. Cloud comprises a federated learner model, configured to send tensors to federated learner update repository. Federated learner update repository comprises a back-end configuration, configured to send model updates to edge devices and cloud.
    Type: Grant
    Filed: March 11, 2020
    Date of Patent: December 26, 2023
    Assignee: SHARECARE AI, INC.
    Inventors: Walter Adolf De Brouwer, Srivatsa Akshay Sharma, Neerajshyam Rangan Kashyap, Kartik Thakore, Philip Joseph Dow
  • Patent number: 11830194
    Abstract: Space-based ground-imaging lidar has become increasingly feasible with recent advances in compact fiber lasers and single-photon-sensitive Geiger-mode detector arrays. A challenge with such a system is imperfect pointing knowledge caused by angular jitter, exacerbated by long distances between the satellite and the ground. Unless mitigated, angular jitter blurs the 3D lidar data. Unfortunately, using mechanical isolation, advanced IMUs, star trackers, or auxiliary passive optical sensors to reduce the error in pointing knowledge increases size, weight, power, and/or cost. Here, the 2-axis jitter time series is estimated from the lidar data. Simultaneously, a single-surface model of the ground is estimated as nuisance parameters. Expectation Maximization separates signal and background detections, while maximizing the joint posterior probability density of the jitter and surface states.
    Type: Grant
    Filed: April 24, 2020
    Date of Patent: November 28, 2023
    Assignee: Massachusetts Institute of Technology
    Inventors: Ethan Phelps, Charles Primmerman, Eric Statz