Patents Examined by Qian Yang
  • Patent number: 10430692
    Abstract: In some implementations, a training platform may receive data for generating synthetic models of a body part, such as a hand. The data may include information relating to a plurality of potential poses of the hand. The training platform may generate a set of synthetic models of the hand based on the information, where each synthetic model, in the set of synthetic models, representing a respective pose of the plurality of potential poses. The training platform may derive an additional set of synthetic models based on the set of synthetic models by performing one or more processing operations with respect to at least one synthetic model in the set of synthetic models, and causing the set of synthetic models and the additional set of synthetic models to be provided to a deep learning network to train the deep learning network to perform image segmentation, object recognition, or motion recognition.
    Type: Grant
    Filed: January 17, 2019
    Date of Patent: October 1, 2019
    Assignee: Capital One Services, LLC
    Inventors: Reza Farivar, Kenneth Taylor, Austin Walters, Joseph Ford, III, Rittika Adhikari
  • Patent number: 10423222
    Abstract: There is provided an object tracker having: a first waveguide; a source of illumination light; a detector optically coupled to the waveguide; and at least one grating lamina formed within the waveguide. Illumination light propagating along a first optical path from the source to an object in relative motion to the object tracker. Image light reflected from at least one surface of an object is deflected by the grating lamina into a second optical path towards the detector.
    Type: Grant
    Filed: September 25, 2015
    Date of Patent: September 24, 2019
    Assignee: DigiLens Inc.
    Inventors: Milan Momcilo Popovich, Jonathan David Waldern, Alastair John Grant, Kimberly Sun Lokovic
  • Patent number: 10410350
    Abstract: A method of using a computer to semantically segment an image using a convolutional neural network system where a processor configured to convolve an input image with a plurality of filters and outputting a first output volume, pool the first output volume and creating a first activation map, determine the level of influence of the first activation map on the semantic segmentation, up-pool the first activation map to form an output image having a same number of pixels as the input image, output a probabilistic segmentation result, labeling each pixel's probability that it is a particular label, and the determination of the level of influence of the first activation map on the semantic segmentation is done using a gate layer that is positioned between a pooling layer and an up-pooling layer.
    Type: Grant
    Filed: October 30, 2017
    Date of Patent: September 10, 2019
    Assignee: Rakuten, Inc.
    Inventors: Jiu Xu, Bjorn Stenger
  • Patent number: 10410084
    Abstract: Devices, systems, and methods obtain a first image, obtain a second image, calculate respective distances between a histogram from a patch in the first image to respective histograms from patches in the second image, and identify a patch in the second image that is most similar to the patch in the first image based on the respective distances.
    Type: Grant
    Filed: October 25, 2017
    Date of Patent: September 10, 2019
    Assignee: Canon Virginia, Inc.
    Inventors: Hung Khei Huang, Bradley Scott Denney, Yang Yang
  • Patent number: 10403271
    Abstract: A system and method for generating a transcript of an audio input. An embodiment of a system and method may include generating a phonetic lattice by decoding the audio input and producing a transcription based on the phonetic lattice and based on a first language model. A transcription may be analyzed to produce analysis results. Analysis results may be used to select from a plurality of language models, one language model and the selected language model may be used to generate a transcript of the audio input.
    Type: Grant
    Filed: June 11, 2015
    Date of Patent: September 3, 2019
    Assignee: NICE Ltd.
    Inventor: Maor Nissan
  • Patent number: 10402974
    Abstract: In a method and an evaluation computer for evaluating medical data having a temporal resolution, a preprocessing phase and a postprocessing phase, are executed. The medical data include a first dataset acquired at a first time point of the temporal resolution and a second dataset acquired at a second time point of the temporal resolution. The preprocessing of the first dataset is performed in a first time period and the preprocessed first dataset is provided as an output. The preprocessing of the second dataset is performed in a second time period and the preprocessed second dataset is provided as an output, and an interactive preparation of the postprocessing is carried out in the second time period based on the preprocessed first dataset. The medical data are evaluated by postprocessing using the preprocessed first dataset and/or the preprocessed second dataset.
    Type: Grant
    Filed: September 29, 2017
    Date of Patent: September 3, 2019
    Assignee: Siemens Healthcare GmbH
    Inventor: Thomas Beck
  • Patent number: 10402680
    Abstract: A method and an apparatus for extracting a saliency map are provided in the embodiment of the present application, the method includes: conducting first convolution processing, first pooling processing and normalization processing on an original image via a prediction model to obtain eye fixation information from the original image, where the eye fixation information is used for indicating a region at which human eye gaze; conducting second convolution processing and second pooling processing on the original image via the prediction model to obtain semantic description information from the original image; fusing the eye fixation information and the semantic description information via element-wise summation function; and conducting detection processing on the fused eye fixation information and semantic description information via the prediction model to obtain a saliency map from the original image. It is used for improving the efficiency of extracting the saliency map from image.
    Type: Grant
    Filed: August 22, 2017
    Date of Patent: September 3, 2019
    Assignee: BEIHANG UNIVERSITY
    Inventors: Xiaowu Chen, Anlin Zheng, Jia Li, Qinping Zhao, Feng Lu
  • Patent number: 10395130
    Abstract: A fingerprint registration method, device and terminal thereof are proposed. The method includes: receiving a registered fingerprint image input at an Nth time by a user and retrieving feature points of the registered fingerprint image input at the Nth time; determining whether the registered fingerprint image input at the Nth time and registered fingerprint images input at N?1 times belong to a same finger based on the feature points of the registered fingerprint image input at the Nth time and feature points of the registered fingerprint images input at the N?1 times previous to the Nth time; and adding the registered fingerprint image input at the Nth time to a candidate collection of registered fingerprint images if the registered fingerprint image input at the Nth time and the registered fingerprint images input at the N?1 times belong to the same finger.
    Type: Grant
    Filed: August 31, 2016
    Date of Patent: August 27, 2019
    Assignee: Guangdong Oppo Mobile Telecommunications Corp., Ltd.
    Inventor: Yibao Zhou
  • Patent number: 10387746
    Abstract: A shade selection program is disclosed that predicts the shade choice with the smallest CIEDE2000 color difference for dental composite resin restorations when given a backing and target shade. By utilizing generated regression models, a database of spectral reflectance information, and principles of Kubelka-Munk layering, a highly accurate shade selection program was designed. Additionally, a blending model for quantification of color adjustment potential was developed. Systems and methods for correlating RGB data from the VITA Linearguide 3D Master and VITA Bleached Guide 3D Master shade guides with their spectroradiometric correlates through a regression model while indicating a methodology for validation of accuracy of digital imaging systems are disclosed.
    Type: Grant
    Filed: May 5, 2017
    Date of Patent: August 20, 2019
    Assignee: Ohio State Innovation Foundation
    Inventors: Melody Noelle Carney, William Michael Johnston
  • Patent number: 10386437
    Abstract: Disclosed herein is a method for generating an MRI image in which a radial or spiral k-chamber path with a constant angular increment Psi is used to take an MRI image, the angular increment Psi being in the angular range of between 5-55 degrees or being in the corresponding supplementary angle Psi? and is selected according to the formula PsiN,M=pi/(N+1/(M+tau?1)). Alternatively, for an angular increment Psi which deviates from the angle increment of the optimal distribution of n radial profiles Psiopt=180°/n, the minimum scanning efficiency of the angular increment Psi for n>21 profiles is greater than 0.95, the angular increment Psi is in an angular range of 5° to less than 68.7537°, in particular between 5-55 degrees or in the corresponding supplementary angle Psi?. Compared to the arrangement of the radial or spiral profile using the golden angle of 111.
    Type: Grant
    Filed: October 7, 2015
    Date of Patent: August 20, 2019
    Assignee: DENTSPLY SIRONA Inc.
    Inventors: Stefan Wundrak, Volker Rasche
  • Patent number: 10387728
    Abstract: Methods, systems, and computer program products for mapping wind turbines and predicting wake effects using satellite imagery data are provided herein. A computer-implemented method includes analyzing one or more satellite images depicting one or more portions of a pre-determined geographic area; detecting a group of one or more wind turbines in the pre-determined geographic area based on the analyzing step and one or more additional items of data; inferring geographic coordinates of each of the detected wind turbines; predicting a wake effect impacting one or more of the detected wind turbines based on the inferred geographic coordinates of each of the detected wind turbines and forecasted weather data; and outputting the predicted wake effect to at least one user.
    Type: Grant
    Filed: May 18, 2017
    Date of Patent: August 20, 2019
    Assignee: International Business Machines Corporation
    Inventors: Vijay Arya, Sambaran Bandyopadhyay, Akash Kumar Panda
  • Patent number: 10386624
    Abstract: A microscope-image processing apparatus including: a processor including hardware, wherein the processor is configured to implement: a captured-region-image generating portion configured to generate a captured-region image by pasting together a plurality of partial images acquired by using a microscope while changing a viewing field with respect to a sample; an uncaptured-region-color setting portion configured to set pixel values of an uncaptured region based on pixel values of rows of pixels at at least one side of the partial images that are positioned at edge portions of the captured-region image generated by the captured-region-image generating portion; and an image combining portion configured to generate a combined image by combining the captured-region image generated by the captured-region-image generating portion and an uncaptured-region image that has the pixel values set by the uncaptured-region-color setting portion.
    Type: Grant
    Filed: August 29, 2017
    Date of Patent: August 20, 2019
    Assignee: OLYMPUS CORPORATION
    Inventors: Masashi Okabe, Shohei Imamura
  • Patent number: 10380410
    Abstract: The present invention comprises computation of 3D real-world positions of points and objects in a scene. It further comprises computation and sharing of positions and orientations of digital imaging means generating images of a scene. The invention further comprises using a camera of an electronic mobile device, and providing users of said mobile device with information regarding navigation, and other position-based information, based on images taken by said device.
    Type: Grant
    Filed: March 29, 2015
    Date of Patent: August 13, 2019
    Inventors: Yaron I. Gold, Benjamin Karov
  • Patent number: 10373003
    Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth; off-line training a lane detection algorithm by using the ground truth, the lane detection algorithm using parameters that express a lane marking in an arc; on-line generating a predicted lane marking; comparing the predicted lane marking against the ground truth; and off-line refining the lane detection algorithm.
    Type: Grant
    Filed: August 22, 2017
    Date of Patent: August 6, 2019
    Assignee: TUSIMPLE
    Inventors: Siyuan Liu, Mingdong Wang, Xiaodi Hou
  • Patent number: 10373339
    Abstract: A method for determining structure from motion in hyperspectral imaging includes acquiring hyperspectral data cubes containing intensity data, the intensity data being stored in dimensions of the hyperspectral data cube including a first spatial dimension, a second spatial dimension, and a spectrum dimension; establishing a set of baseline spectral features from a data cube for tracking between data cubes; establishing a set of standard features from a data cube for tacking between data cubes; matching, between data cubes, respective baseline features and standard features; and extracting imaging device motion information based on relative positions of matched baseline and standard features.
    Type: Grant
    Filed: December 14, 2016
    Date of Patent: August 6, 2019
    Assignee: The Government of the United States of America, as represented by the Secretary of the Navy
    Inventors: Corey A. Miller, Thomas J. Walls
  • Patent number: 10373611
    Abstract: Methods and systems for modification of electronic system operation based on acoustic ambience classification are presented. In an example method, at least one audio signal present in a physical environment of a user is detected. The at least one audio signal is analyzed to extract at least one audio feature from the audio signal. The audio signal is classified based on the audio feature to produce at least one classification of the audio signal. Operation of an electronic system interacting with the user in the physical environment is modified based on the classification of the audio signal.
    Type: Grant
    Filed: January 3, 2014
    Date of Patent: August 6, 2019
    Assignee: Gracenote, Inc.
    Inventors: Suresh Jeyachandran, Vadim Brenner, Markus K. Cremer
  • Patent number: 10366279
    Abstract: Embodiments of the present invention provide a system for executing multiple events in response to receiving an image and extracting identity and contact information from that image. As such, a facial recognition and image hashing process is applied to an image of multiple individuals associated with the multiple events to extract image hashes for each individual. These image hashes are then compared to known, stored image hashes to determine an identity and contact information for each individual. Once this information is collected, the system executes the multiple events based on the determined information about each individual.
    Type: Grant
    Filed: August 29, 2017
    Date of Patent: July 30, 2019
    Assignee: Bank of America Corporation
    Inventors: Udaya Kumar Raju Ratnakaram, Nagasubramanya Lakshminarayana, Pinak Chakraborty
  • Patent number: 10360906
    Abstract: A computer system can conduct corresponding natural language dialogs with multiple computer-readable profiles using a computer proxy messaging bot. For example, a first set of natural language instructions can be received via a computer messaging proxy bot from a first computer-readable profile. The first set of natural language instructions can be analyzed via the proxy bot. Also, first and second natural language dialog scripts can be generated via the proxy bot using results of the analyzing of the first set of natural language instructions, with the second natural language dialog script including natural language data derived from the first set of natural language instructions. The first natural language dialog script can be sent to the first profile via the proxy bot and the second natural language dialog script can be sent to a second computer-readable profile via the proxy bot, both in response to the first set of instructions.
    Type: Grant
    Filed: June 14, 2016
    Date of Patent: July 23, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Benny Schlesinger, Hen Fitoussi, Avichai Cohen, Yuval Pinchas Borsutsky, Eldar Cohen, William Ramsey, Delia Koren
  • Patent number: 10354172
    Abstract: A verification device includes an acquisition unit that acquires image data which is an object to be verified, a classification unit that includes a plurality of classifiers caused to learn the image data acquired by the acquisition unit, using a plurality of different pieces of learning data, with respect to a target event to obtain values indicating a possibility corresponding to the event, and a specification unit that specifies a state of the object to be verified which is the image acquired by the acquisition unit from the values obtained by the plurality of classifiers.
    Type: Grant
    Filed: August 21, 2017
    Date of Patent: July 16, 2019
    Assignee: Cresco Ltd.
    Inventor: Yuji Ayatsuka
  • Patent number: 10354170
    Abstract: Embodiments of the present invention disclose a method and an apparatus of establishing an image search relevance prediction model, and an image search method and apparatus. The method of establishing an image search relevance prediction model comprises: training a pre-constructed original deep neural network by using a training sample, wherein the training sample comprises: a query and image data, and the original deep neural network comprises: a representation vector generation network and a relevance calculation network; and using the trained original deep neural network as the image search relevance prediction model. The technical solution of the present invention optimizes the existing image search technology, and has stronger capabilities than the prior art as well as various integrations and variations in terms of semantic matching between a query and an image text, semantic matching between a query and image content, click generalization and the like.
    Type: Grant
    Filed: September 30, 2016
    Date of Patent: July 16, 2019
    Assignee: BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) CO., LTD.
    Inventors: Libo Fu, Heng Luo, Gaolin Fang, Wei Xu