Patents Examined by Kathleen Y Dulaney
  • Method and apparatus for recognizing video fine granularity, computer device and storage medium
    Patent number: 10824920
    Abstract: The present disclosure provides a method and apparatus for recognizing video fine granularity, a computer device and a storage medium, wherein the method comprises: performing sampling processing for video to be recognized to obtain n frames of images, n being a positive integer larger than one; respectively obtaining a feature graph of each frame of image, and determining a summary feature according to respective feature graphs; determining a fine granularity recognition result of a target in the video according to the summary feature. The solution of the present disclosure may be applied to enhance the accuracy of recognition result.
    Type: Grant
    Filed: April 18, 2018
    Date of Patent: November 3, 2020
    Assignee: BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) CO., LTD.
    Inventors: Xiao Tan, Feng Zhou, Hao Sun
  • Method and system for providing feedback data useful in prosthodontic procedures associated with the intra oral cavity
    Patent number: 10813734
    Abstract: Feedback data useful in prosthodontic procedures associated with the intra oral cavity is provided. First, a 3D numerical model of the target zone in the intra oral cavity is provided, and this is manipulated so as to extract particular data that may be useful in a particular procedure, for example data relating to the finish line or to the shape and size of a preparation. The relationship between this data and the procedure is then determined, for example the clearance between the preparation and the intended crown. Feedback data, indicative of this relationship, is then generated, for example whether the preparation geometry is adequate for the particular type of prosthesis.
    Type: Grant
    Filed: April 26, 2019
    Date of Patent: October 27, 2020
    Assignee: ALIGN TECHNOLOGY, INC.
    Inventors: Avi Kopelman, Eldad Taub
  • Training and utilizing an image exposure transformation neural network to generate a long-exposure image from a single short-exposure image
    Patent number: 10783622
    Abstract: The present disclosure relates to training and utilizing an image exposure transformation network to generate a long-exposure image from a single short-exposure image (e.g., still image). In various embodiments, the image exposure transformation network is trained using adversarial learning, long-exposure ground truth images, and a multi-term loss function. In some embodiments, the image exposure transformation network includes an optical flow prediction network and/or an appearance guided attention network. Trained embodiments of the image exposure transformation network generate realistic long-exposure images from single short-exposure images without additional information.
    Type: Grant
    Filed: April 25, 2018
    Date of Patent: September 22, 2020
    Assignee: ADOBE INC.
    Inventors: Yilin Wang, Zhe Lin, Zhaowen Wang, Xin Lu, Xiaohui Shen, Chih-Yao Hsieh
  • Equivariant landmark transformation for landmark localization
    Patent number: 10783394
    Abstract: A method, computer readable medium, and system are disclosed to generate coordinates of landmarks within images. The landmark locations may be identified on an image of a human face and used for emotion recognition, face identity verification, eye gaze tracking, pose estimation, etc. A transform is applied to input image data to produce transformed input image data. The transform is also applied to predicted coordinates for landmarks of the input image data to produce transformed predicted coordinates. A neural network model processes the transformed input image data to generate additional landmarks of the transformed input image data and additional predicted coordinates for each one of the additional landmarks. Parameters of the neural network model are updated to reduce differences between the transformed predicted coordinates and the additional predicted coordinates.
    Type: Grant
    Filed: June 12, 2018
    Date of Patent: September 22, 2020
    Assignee: NVIDIA Corporation
    Inventors: Pavlo Molchanov, Stephen Walter Tyree, Jan Kautz, Sina Honari
  • Semi-supervised learning for landmark localization
    Patent number: 10783393
    Abstract: A method, computer readable medium, and system are disclosed for sequential multi-tasking to generate coordinates of landmarks within images. The landmark locations may be identified on an image of a human face and used for emotion recognition, face identity verification, eye gaze tracking, pose estimation, etc. A neural network model processes input image data to generate pixel-level likelihood estimates for landmarks in the input image data and a soft-argmax function computes predicted coordinates of each landmark based on the pixel-level likelihood estimates.
    Type: Grant
    Filed: June 12, 2018
    Date of Patent: September 22, 2020
    Assignee: NVIDIA Corporation
    Inventors: Pavlo Molchanov, Stephen Walter Tyree, Jan Kautz, Sina Honari
  • Machine learning systems and method for assessment, healing prediction, and treatment of wounds
    Patent number: 10783632
    Abstract: Machine learning systems and methods are disclosed for prediction of wound healing, such as for diabetic foot ulcers or other wounds, and for assessment implementations such as segmentation of images into wound regions and non-wound regions. Systems for assessing or predicting wound healing can include a light detection element configured to collect light of at least a first wavelength reflected from a tissue region including a wound, and one or more processors configured to generate an image based on a signal from the light detection element having pixels depicting the tissue region, determine reflectance intensity values for at least a subset of the pixels, determine one or more quantitative features of the subset of the plurality of pixels based on the reflectance intensity values, and generate a predicted or assessed healing parameter associated with the wound over a predetermined time interval.
    Type: Grant
    Filed: January 9, 2020
    Date of Patent: September 22, 2020
    Assignee: SPECTRAL MD, INC.
    Inventors: Wensheng Fan, John Michael DiMaio, Jeffrey E. Thatcher, Peiran Quan, Faliu Yi, Kevin Plant, Ronald Baxter, Brian McCall, Zhicun Gao, Jason Dwight
  • Framebuffer-less system and method of convolutional neural network
    Patent number: 10769485
    Abstract: A framebuffer-less system of convolutional neural network (CNN) includes a region of interest (ROI) unit that extracts features, according to which a region of interest in an input image frame is generated; a convolutional neural network (CNN) unit that processes the region of interest of the input image frame to detect an object; and a tracking unit that compares the features extracted at different times, according to which the CNN unit selectively processes the input image frame.
    Type: Grant
    Filed: June 19, 2018
    Date of Patent: September 8, 2020
    Assignee: Himax Technologies Limited
    Inventor: Der-Wei Yang
  • Deep learning image processing method for determining vehicle damage
    Patent number: 10762385
    Abstract: In a computer-implemented method and associated tangible non-transitory computer-readable medium, an image of a damaged vehicle may be analyzed to generate a repair estimate. A dataset populated with digital images of damaged vehicles and associated claim data may be used to train a deep learning neural network to learn damaged vehicle image characteristics that are predictive of claim data characteristics, and a predictive similarity model may be generated. Using the predictive similarity model, one or more similarity scores may be generated for a digital image of a newly damaged vehicle, indicating its similarity to one or more digital images of damaged vehicles with known damage level, repair time, and/or repair cost. A repair estimate may be generated for the newly damaged vehicle based on the claim data associated with images that are most similar to the image of the newly damaged vehicle.
    Type: Grant
    Filed: June 29, 2018
    Date of Patent: September 1, 2020
    Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
    Inventors: He Yang, Bradley A. Sliz, Carlee A. Clymer, Jennifer Malia Andrus
  • System and method for image denoising
    Patent number: 10762603
    Abstract: Systems and methods for image noise reduction are provided. The methods may include obtaining first image data, determining a restriction or a gradient of the first image data, determining a regularization parameter for the first image data based on the restriction or the gradient, generating second image data based on the regularization parameter and the first image data, and generating a regularized image based on the second image data.
    Type: Grant
    Filed: May 19, 2017
    Date of Patent: September 1, 2020
    Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
    Inventors: Stanislav Zabic, Zhicong Yu
  • Three-dimensional position information acquiring method and three-dimensional position information acquiring apparatus
    Patent number: 10754139
    Abstract: A three-dimensional position information acquiring method includes acquiring an image of a first optical image; thereafter acquiring an image of a second optical image; and performing a computation using image data of the first and second optical images. Acquisition of the image of the first optical image is based on light beams having passed through a first area. Acquisition of the image of the second optical image is based on light beams having passed through a second area. The positions of the centers of the first and second areas are both away from the optical axis of an optical system in a plane perpendicular to said optical axis. The first and second areas respectively include at least portions that do not overlap with each other. Three-dimensional position information about an observed object is acquired by the computation. The first and second areas are formed at rotationally symmetric positions.
    Type: Grant
    Filed: May 11, 2018
    Date of Patent: August 25, 2020
    Assignee: OLYMPUS CORPORATION
    Inventor: Hiroshi Ishiwata
  • System and method for line Mura detection with preprocessing
    Patent number: 10755133
    Abstract: A system and method for identifying line Mura defects on a display. The system is configured to generate a filtered image by preprocessing an input image of a display using at least one filter. The system then identifies line Mura candidates by converting the filtered image to a binary image, counting line components along a slope in the binary image, and marking a potential candidate location when the line components along the slope exceed a line threshold. Image patches are then generated with the candidate locations at the center of each image patch. The image patches are then classified using a machine learning classifier.
    Type: Grant
    Filed: April 18, 2018
    Date of Patent: August 25, 2020
    Assignee: Samsung Display Co., Ltd.
    Inventor: Janghwan Lee
  • Method of defect classification and system thereof
    Patent number: 10748271
    Abstract: There are provided system and method of classifying defects in a specimen. The method includes: obtaining one or more defect clusters detected on a defect map of the specimen, each cluster characterized by a set of cluster attributes comprising spatial attributes including spatial density indicative of density of defects in one or more regions accommodating the cluster, each given defect cluster being detected at least based on the spatial density thereof meeting a criterion; for each cluster, applying a cluster classifier to a respective set of cluster attributes thereof to associate the cluster with one or more labels of a predefined set of labels, wherein the cluster classifier is trained using cluster training data; and identifying DOI in each cluster by performing a defect filtration for each cluster using one or more filtering parameters specified in accordance with the label of the cluster.
    Type: Grant
    Filed: April 25, 2018
    Date of Patent: August 18, 2020
    Assignee: APPLIED MATERIALS ISRAEL LTD.
    Inventors: Assaf Asbag, Orly Zvitia, Idan Kaizerman, Efrat Rosenman
  • Method and system for generating a range image using sparse depth data
    Patent number: 10706505
    Abstract: A system and method for generating a range image using sparse depth data is disclosed. The method includes receiving, by a controller, image data of a scene. The image data includes a first set of pixels. The method also includes receiving, by the controller, a sparse depth data of the scene. The sparse depth data includes a second set of pixels, and the number of the second set of pixels is less than the number of first set of pixels. The method also includes combining the image data and the sparse depth data into a combined data. The method also includes generating a range image using the combined data.
    Type: Grant
    Filed: January 24, 2018
    Date of Patent: July 7, 2020
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Wei Tong, Shuqing Zeng, Upali P. Mudalige
  • Correction method, correction apparatus, and inspection apparatus
    Patent number: 10706527
    Abstract: A correction method according to an embodiment includes illuminating an object to be inspected by using critical illumination by illumination light L11 generated by a light source 11, concentrating light from the object to be inspected illuminated by the illumination light L11 and acquiring image data of the object to be inspected by detecting the concentrated light by a first detector 23, concentrating part of the illumination light L11, and acquiring image data of a brightness distribution of the illumination light L11 by detecting the concentrated illumination light L11 by a second detector 33, and correcting the image data of the object to be inspected based on the image data of the brightness distribution.
    Type: Grant
    Filed: March 23, 2018
    Date of Patent: July 7, 2020
    Assignee: LASERTEC CORPORATION
    Inventors: Tsunehito Kohyama, Haruhiko Kusunose, Kiwamu Takehisa, Hiroki Miyai, Itaru Matsugu
  • Dual-resolution 3D scanner and method of using
    Patent number: 10690494
    Abstract: A 3D scanner system includes a scanning device capable of recording first and second data sets of a surface of an object when operating in a first configuration and a second configuration, respectively. A measurement unit is configured for measuring a distance from the scanning device to the surface. A control controls an operation of the scanning device based on the distance measured by the measurement unit, where the scanning device operates in the first configuration when the measured distance is within a first range of distances from the surface and the scanning device operates in the second configuration when the measured distance is within a second range of distances; and a data processor is configured to combine one or more first data sets and one or more second data sets to create a combined virtual 3D model of the object surface.
    Type: Grant
    Filed: March 5, 2019
    Date of Patent: June 23, 2020
    Assignee: 3SHAPE A/S
    Inventors: Nikolaj Deichmann, Mike Van der Poel, Karl-Josef Hollenbeck, Rune Fisker
  • Self-Service Terminal (SST) facial authentication processing
    Patent number: 10679082
    Abstract: Real-time facial recognition is augmented with a machine-learning process that samples pixels from images captured for the physical environmental background of a device, which captures an image of a user's face for facial authentication. The background pixel points that are present in a captured image of a user's face from a camera of the device are authenticated with the image of the user's face. The value of the background pixel points are compared against the expected values for the background pixel points provided by the on-going machine-learning process for the background.
    Type: Grant
    Filed: September 28, 2017
    Date of Patent: June 9, 2020
    Assignee: NCR Corporation
    Inventors: Weston Lee Hecker, Nir Veltman, Yehoshua Zvi Licht
  • Automated process for determining amount of meat remaining on animal carcass
    Patent number: 10667530
    Abstract: An automated process assesses an amount of meat remaining on a trimmed animal carcass by generating image data of the carcass and processing the image data in a computer to calculate the amount of meat remaining on the carcass. The automated process can be carried out using an equation developed by counting pixels in an area of interest in images of a plurality of reference trimmed carcasses from which the remaining meat is thereafter scraped and weighed, to produce data points used to develop the equation which is then used to calculate the amount of meat remaining on a trimmed carcass as it proceeds down a processing line.
    Type: Grant
    Filed: December 20, 2017
    Date of Patent: June 2, 2020
    Assignee: Cryovac, LLC
    Inventors: Daniel Healey, Rajeev Sinha, Lewis Webb, Keith Johnson, James Mize
  • Dual-resolution 3D scanner and method of using
    Patent number: 10670395
    Abstract: A 3D scanner system includes a scanning device capable of recording first and second data sets of a surface of an object when operating in a first configuration and a second configuration, respectively. A measurement unit is configured for measuring a distance from the scanning device to the surface. A control controls an operation of the scanning device based on the distance measured by the measurement unit, where the scanning device operates in the first configuration when the measured distance is within a first range of distances from the surface and the scanning device operates in the second configuration when the measured distance is within a second range of distances; and a data processor is configured to combine one or more first data sets and one or more second data sets to create a combined virtual 3D model of the object surface.
    Type: Grant
    Filed: March 7, 2017
    Date of Patent: June 2, 2020
    Assignee: 3SHAPE A/S
    Inventors: Nikolaj Deichmann, Mike Van Der Poel, Karl-Josef Hollenbeck, Rune Fisker
  • Inspection device
    Patent number: 10672119
    Abstract: In order to provide an inspection device capable of quantitatively evaluating a pattern related to a state of a manufacturing process or performance of an element, it is assumed that an inspection device includes an image analyzing unit that analyzes a top-down image of a sample in which columnar patterns are formed at a regular interval, in which an image analyzing unit 240 includes a calculation unit 243 that obtains a major axis, a minor axis, an eccentricity, and an angle formed by a major axis direction with an image horizontal axis direction of the approximated ellipse as a first index and a Cr calculation unit 248 that obtains a circumferential length of an outline of a columnar pattern on the sample and a value obtained by dividing a square of the circumferential length by a value obtained by multiplying an area surrounded by the outline and 4? as a second index.
    Type: Grant
    Filed: September 10, 2015
    Date of Patent: June 2, 2020
    Assignee: HITACHI HIGH-TECH CORPORATION
    Inventors: Atsuko Yamaguchi, Masami Ikota, Kazuhisa Hasumi
  • Inverse tone mapping method
    Patent number: 10664961
    Abstract: The present invention provides a technology that separates a low-contrast-ratio image into sublayer images, classifies each sublayer image into several categories in accordance with the characteristics of each sublayer image, and learns a transformation matrix representing a relationship between the low-contrast-ratio image and a high-contrast-ratio image for each category. In addition, the present invention provides a technology that separates an input low-contrast-ratio image into sublayer images, selects a category corresponding to each sublayer image, and applies a learned transformation matrix to generate a high.
    Type: Grant
    Filed: June 27, 2017
    Date of Patent: May 26, 2020
    Assignees: SILICON WORKS CO., LTD., Korea Advanced Institute of Science and Technology
    Inventors: Yong Woo Kim, Sang Yeon Kim, Woo Suk Ha, Mun Churl Kim, Dae Eun Kim