Patents Examined by Andrew M Moyer
  • Patent number: 10855909
    Abstract: A method for obtaining a binocular panoramic image is performed at an electronic apparatus. The method includes: obtaining first and second panoramic images acquired by two panoramic cameras; obtaining at least one group of a first pixel located in the first panoramic image and a second pixel located in the second panoramic image; calculating a distance between the first pixel and the second pixel in each group, and obtaining depth information corresponding to the two panoramic image according to the distance between the first pixel and the second pixel; obtaining a second monocular panoramic image through mapping by using one of the two panoramic images as a first monocular panoramic image, in combination with the corresponding depth information and a preset pupil distance between a first eye and a second eye; and displaying the first monocular panoramic image and the second monocular panoramic image in corresponding display regions.
    Type: Grant
    Filed: July 20, 2018
    Date of Patent: December 1, 2020
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Li Yao, Juhong Wang, Tingting Huang, Xuan Zheng
  • Patent number: 10853903
    Abstract: The present disclosure relates to signal decoding and icon (e.g., a logo, shape, icon, etc.) detection. In some implementations, a first response is provided upon signal decoding but no icon detection within first captured image data, and a second response is provided upon signal decoding and icon detection within the first captured image data. Other aspects, combinations and implementations are described as well.
    Type: Grant
    Filed: April 23, 2018
    Date of Patent: December 1, 2020
    Assignee: Digimarc Corporation
    Inventors: Utkarsh Deshmukh, Eliot Rogers, Matthew M. Weaver
  • Patent number: 10853970
    Abstract: A system for estimating a three dimensional pose of one or more persons in a scene is disclosed herein. The system includes at least one camera, the at least one camera configured to capture an image of the scene; and a data processor including at least one hardware component, the data processor configured to execute computer executable instructions. The computer executable instructions comprising instructions for: (i) receiving the image of the scene from the at least one camera; (ii) extracting features from the image of the scene for providing inputs to a convolutional neural network; (iii) generating one or more volumetric heatmaps using the convolutional neural network; and (iv) applying a maximization function to the one or more volumetric heatmaps to obtain a three dimensional pose of one or more persons in the scene.
    Type: Grant
    Filed: March 21, 2020
    Date of Patent: December 1, 2020
    Assignee: Bartec Corporation
    Inventors: Emre Akbas, Muhammed Kocabas, Muhammed Salih Karagoz, Necip Berme
  • Patent number: 10846537
    Abstract: An information processing device includes: an information acquisition unit that acquires information on a target included in an image; and a transmission unit that determines a transmission destination of the image or information on the image according to the information on the target and transmits the image or the information on the image to the determined transmission destination.
    Type: Grant
    Filed: September 21, 2016
    Date of Patent: November 24, 2020
    Assignee: NEC CORPORATION
    Inventors: Shinichi Anami, Makoto Igarashi
  • Patent number: 10846942
    Abstract: Free space machine interface and control can be facilitated by predictive entities useful in interpreting a control object's position and/or motion (including objects having one or more articulating members, i.e., humans and/or animals and/or machines). Predictive entities can be driven using motion information captured using image information or the equivalents. Predictive information can be improved applying techniques for correlating with information from observations.
    Type: Grant
    Filed: August 29, 2014
    Date of Patent: November 24, 2020
    Assignee: Ultrahaptics IP Two Limited
    Inventors: Kevin A Horowitz, David S Holz
  • Patent number: 10839235
    Abstract: In a light control system, a captured image of a cruising direction of a vehicle is acquired, and a light source is extracted from the captured image. A probability for estimating a light source to be a vehicle light source originating from a vehicle is calculated based on light source parameters for differentiating the light source. A dark section that is darker than the periphery and is present below the light source in the captured image is extracted. The probability is set to be higher for the light source of which the dark section is extracted. The light source having a probability that is a reference value set in advance or higher is estimated to be a light source of another vehicle. When the dark section that is detected as a shadow of a vehicle is detected, the probability of the light source being a vehicle light source is set to be high.
    Type: Grant
    Filed: April 24, 2018
    Date of Patent: November 17, 2020
    Assignee: DENSO CORPORATION
    Inventors: Hironori Sato, Taiji Morishita
  • Patent number: 10839483
    Abstract: An image conversion method includes: dividing a low-resolution image to generate a plurality of low-resolution image patches having N (N being a natural number of 2 or greater) number of pixels; classifying the low-resolution image patches into a plurality of image categories; converting the low-resolution image patches by using a conversion kernel for each image patch corresponding to its image category among prestored conversion matrices, to generate high-resolution image patches having L (L being a natural number) number of pixels, which is less than the N number of pixels; and arranging the high-resolution image patches to generate a high-resolution image. According to the image conversion method, an operation amount can be reduced compared with a conventional technique, and thus the image conversion method can be implemented in hardware having low complexity. A high quality and high-resolution image can be generated regardless of characteristic information of an image signal.
    Type: Grant
    Filed: June 30, 2016
    Date of Patent: November 17, 2020
    Assignee: Korea Advanced Institute of Science and Technology
    Inventors: Munchurl Kim, Jae Seok Choi
  • Patent number: 10841476
    Abstract: A wearable apparatus and method are provided for selectively disregarding triggers originating from persons other than a user of the wearable apparatus. The wearable apparatus comprises a wearable image sensor configured to capture image data from an environment of the user of the wearable apparatus. The wearable apparatus also includes at least one processing device programmed to receive the captured image data and identify in the image data a trigger. The trigger is associated with at least one action to be performed by the wearable apparatus. The processing device is also programmed to determine, based on the image data, whether the trigger identified in the image data is associated with a person other than the user of the wearable apparatus, and forgo performance of the at least one action if the trigger identified in the image data is determined to be associated with a person other than the user.
    Type: Grant
    Filed: July 23, 2015
    Date of Patent: November 17, 2020
    Assignee: OrCam Technologies Ltd.
    Inventors: Yonatan Wexler, Amnon Shashua
  • Patent number: 10839238
    Abstract: A method for validating a remote user's identity comprises retrieving a user's photo and a user's signature from a digital associated identification card; requesting a real-time photo set, wherein the real-time photo set includes a first photo and a second photo; requesting a real-time written signature with the requested real-time photo set; signature matching the real-time written signature against the user's signature of the digital associated identification card; background matching a background in the first photo of the real-time photo set against a background in the second photo of the real-time photo set; user matching an image of the user from the first photo against the user's photo from the digital associated identification card; and validating the user's identity in response to determining that the signature matching satisfies a first threshold, the background matching satisfies a second threshold, and the user matching satisfies a third threshold.
    Type: Grant
    Filed: March 23, 2018
    Date of Patent: November 17, 2020
    Assignee: International Business Machines Corporation
    Inventors: Ying Li, Harummiati Gandasasmita, Chitra Dorai
  • Patent number: 10839199
    Abstract: An image extracting unit and an album setting unit are provided. The image extracting unit sets a predetermined image of a plurality of images as a group photograph and extracts, from the plurality of images, images including each of face images of the group photograph. The album setting unit records image identification information of the extracted images in a predetermined file.
    Type: Grant
    Filed: June 29, 2016
    Date of Patent: November 17, 2020
    Assignee: FUJIFILM Corporation
    Inventor: Koki Okamura
  • Patent number: 10825167
    Abstract: Machine learning is used to assess data for a patient in an emergency, providing rapid diagnosis based on a large amount of information. Assistance in triage may be provided. Given the large variety of patients and conditions that may occur, the machine learning may rely on synthetically generated images for more accurate prediction. The machine learning may accurately predict even with missing information and may be used to determine what missing information for a given patient is more or less important to obtain.
    Type: Grant
    Filed: April 28, 2017
    Date of Patent: November 3, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Saikiran Rapaka, Lucian Mihai Itu, Tiziano Passerini, Puneet Sharma, Dorin Comaniciu
  • Patent number: 10824908
    Abstract: This disclosure relates to a computerized method to perform a machine learning on a relationship between medical images and metadata using a neural network and acquiring metadata by applying a machine learning model to medical images, and a method thereof. The apparatus and method may include training a prediction model for predicting metadata of medical images based on multiple medical images for learning and metadata matched with each of multiple medical images and predicting metadata of input medical image.
    Type: Grant
    Filed: December 9, 2019
    Date of Patent: November 3, 2020
    Assignee: Lunit Inc.
    Inventors: Jongchan Park, Donggeun Yoo
  • Patent number: 10818002
    Abstract: A computer-implemented method for processing images may include obtaining at least one image for analyzing; inputting the at least one image to at least one of a plurality of image plugins; analyzing the at least one image via the at least one of the plurality of image plugins; determining metadata related to the at least one image based on the at least one of the plurality of image plugins; filtering the at least one image based on one or more rule sets to generate at least one filtered image; sorting the at least one filtered image to generate at least one sorted image; displaying the at least one sorted image based on an organizational sequence of a webpage; displaying navigation controls via the webpage; and displaying the at least one sorted image according to a user interaction with the navigation controls on the webpage.
    Type: Grant
    Filed: November 26, 2019
    Date of Patent: October 27, 2020
    Assignee: Capital One Services, LLC
    Inventors: Geoffrey Dagley, Qiaochu Tang, Micah Price, Avid Ghamsari, Staevan Duckworth
  • Patent number: 10819881
    Abstract: An image encryption/decryption system performs quantification and reconstruction of 2-D and 3-D layered and arbitrary grayscale or binary images in raster or vector format and supports their secure transmission between a Sender and a Receiver. Quantification parameters of the images include Indices of Intrinsic Anisotropy of size (IIAsize) and structure (IIAstr), which reflect the image anisotropy with high sensitivity. The IIASTR and IIASIZE are used as hash values in authentication of a transmitted image. The system assures that the same set of transects which was used by the Sender in the image encryption will be used only by an authorized Receiver for decryption of the image.
    Type: Grant
    Filed: July 31, 2018
    Date of Patent: October 27, 2020
    Inventor: Igor Vladimir Smolyar
  • Patent number: 10817971
    Abstract: Disclosed are a method and apparatus for embedding a graphic image representation into a two dimensional matrix code by modifying the characteristic values of individual pixels in the image according the values of a provided two dimensional matrix code image. The modified character pixel values are determined using an optimization procedure that minimizes a visual distortion with respect to the original graphic image representation while maintaining the value of a probability of error model below a specified limit.
    Type: Grant
    Filed: November 17, 2017
    Date of Patent: October 27, 2020
    Assignee: Graphiclead LLC
    Inventors: Gonzalo R. Arce, Gonzalo J. Garateguy, Daniel L. Lau
  • Patent number: 10810419
    Abstract: A method is provided for generating and revising map geometry based on a received image and probe data. A method may include: receiving probe data from a first period of time, where the probe data from a first period of time is from a plurality of probes within a predefined geographic region; generating a first image of the predefined geographic region based on the probe data from the first period of time; receiving probe data from a second period of time different from the first period of time, where the probe data from the second period of time is from a plurality of probes within the predefined geographic region; generating a second image based on the probe data from the second period of time; comparing the first image to the second image; and generating a revised route geometry based on changes detected between the first image and the second image.
    Type: Grant
    Filed: January 2, 2018
    Date of Patent: October 20, 2020
    Assignee: HERE Global B.V.
    Inventors: Anish Mittal, Mark David Tabb, Himaanshu Gupta, Yelena Perelmutova, David Lawlor
  • Patent number: 10803617
    Abstract: This disclosure relates to method and system for detecting and correcting an orientation of an image. The method may include generating a number of images of an environment corresponding to the input image, determining a region and a label corresponding to each of a number of objects in each of the images, determining a context for each of the objects in each of the images with respect to an overall context of the environment based on the label for each of the objects, estimating an orientation score for each of the images based on a correlation between the region and the label of each of the objects in each of the images and the context of each of the objects in each of the images, and correcting the orientation of the input image based on the estimated orientation score for each of the images.
    Type: Grant
    Filed: March 28, 2018
    Date of Patent: October 13, 2020
    Assignee: Wipro Limited
    Inventor: Ghulam Mohiuddin Khan
  • Patent number: 10803272
    Abstract: The present disclosure relates to signal decoding and icon (e.g., a logo, shape, icon, etc.) detection.
    Type: Grant
    Filed: April 30, 2018
    Date of Patent: October 13, 2020
    Assignee: Digimarc Corporation
    Inventors: Utkarsh Deshmukh, Tomas Filler
  • Patent number: 10794981
    Abstract: A magnetic resonance system is operated in a preliminary examination so as to acquire magnetic resonance data while an object undergoing investigation is in a first position relative to the scanner of the magnetic resonance system. Using the first magnetic resonance data, or image data derived therefrom, a processor reconstructs an image of the object. The image has a distortion in relation to the object. The processor presents the image to a person operating the system at a display device. The processor reconstructs the image such that the distortion is determined by a target position that is independent of the position of the object.
    Type: Grant
    Filed: July 19, 2018
    Date of Patent: October 6, 2020
    Assignee: Siemens Healthcare GmbH
    Inventor: Peter Schmitt
  • Patent number: 10796180
    Abstract: According to an implementation, a biometric camera device includes a plurality of image sensors including a first image sensor and a second image sensor, and a plurality of biometric processors including a first biometric processor connected to the first image sensor and a second biometric processor connected to the second image sensor. The first biometric processor is configured to receive and process image data from the first image sensor according to a first biometric algorithm, and the second biometric processor is configured to receive and process image data from the second image sensor according to a second biometric algorithm. The biometric camera device includes a controller connected to each of the plurality of biometric processors. The controller is configured to receive processed biometric data from each of the biometric plurality of biometric processors.
    Type: Grant
    Filed: February 12, 2018
    Date of Patent: October 6, 2020
    Assignee: Securiport LLC
    Inventor: Edward Roderick