Patents by Inventor Illya Bomash

Illya Bomash has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • RETINAL ENCODER FOR MACHINE VISION
    Publication number: 20200401837
    Abstract: A method is disclosed including: receiving raw image data corresponding to a series of raw images; processing the raw image data with an encoder to generate encoded data, where the encoder is characterized by an input/output transformation that substantially mimics the input/output transformation of one or more retinal cells of a vertebrate retina; and applying a first machine vision algorithm to data generated based at least in part on the encoded data.
    Type: Application
    Filed: September 3, 2020
    Publication date: December 24, 2020
    Applicant: CORNELL UNIVERSITY
    Inventors: Sheila NIRENBERG, Illya Bomash
  • Retinal encoder for machine vision
    Patent number: 10769483
    Abstract: A method is disclosed including: receiving raw image data corresponding to a series of raw images; processing the raw image data with an encoder to generate encoded data, where the encoder is characterized by an input/output transformation that substantially mimics the input/output transformation of one or more retinal cells of a vertebrate retina; and applying a first machine vision algorithm to data generated based at least in part on the encoded data.
    Type: Grant
    Filed: May 23, 2019
    Date of Patent: September 8, 2020
    Assignee: CORNELL UNIVERSITY
    Inventors: Shelia Nirenberg, Illya Bomash
  • RETINAL ENCODER FOR MACHINE VISION
    Publication number: 20190279021
    Abstract: A method is disclosed including: receiving raw image data corresponding to a series of raw images; processing the raw image data with an encoder to generate encoded data, where the encoder is characterized by an input/output transformation that substantially mimics the input/output transformation of one or more retinal cells of a vertebrate retina; and applying a first machine vision algorithm to data generated based at least in part on the encoded data.
    Type: Application
    Filed: May 23, 2019
    Publication date: September 12, 2019
    Inventors: Sheila NIRENBERG, Illya Bomash
  • Retinal encoder for machine vision
    Patent number: 10303970
    Abstract: A method is disclosed including: receiving raw image data corresponding to a series of raw images; processing the raw image data with an encoder to generate encoded data, where the encoder is characterized by an input/output transformation that substantially mimics the input/output transformation of one or more retinal cells of a vertebrate retina; and applying a first machine vision algorithm to data generated based at least in part on the encoded data.
    Type: Grant
    Filed: January 17, 2017
    Date of Patent: May 28, 2019
    Assignee: CORNELL UNIVERSITY
    Inventors: Sheila Nirenberg, Illya Bomash
  • RETINAL ENCODER FOR MACHINE VISION
    Publication number: 20170255837
    Abstract: A method is disclosed including: receiving raw image data corresponding to a series of raw images; processing the raw image data with an encoder to generate encoded data, where the encoder is characterized by an input/output transformation that substantially mimics the input/output transformation of one or more retinal cells of a vertebrate retina; and applying a first machine vision algorithm to data generated based at least in part on the encoded data.
    Type: Application
    Filed: January 17, 2017
    Publication date: September 7, 2017
    Inventors: Sheila NIRENBERG, Illya BOMASH
  • Retinal encoder for machine vision
    Patent number: 9547804
    Abstract: A method is disclosed including: receiving raw image data corresponding to a series of raw images; processing the raw image data with an encoder to generate encoded data, where the encoder is characterized by an input/output transformation that substantially mimics the input/output transformation of one or more retinal cells of a vertebrate retina; and applying a first machine vision algorithm to data generated based at least in part on the encoded data.
    Type: Grant
    Filed: August 24, 2012
    Date of Patent: January 17, 2017
    Assignee: Cornell University
    Inventors: Sheila Nirenberg, Illya Bomash
  • RETINAL ENCODER FOR MACHINE VISION
    Publication number: 20140355861
    Abstract: A method is disclosed including: receiving raw image data corresponding to a series of raw images; processing the raw image data with an encoder to generate encoded data, where the encoder is characterized by an input/output transformation that substantially mimics the input/output transformation of one or more retinal cells of a vertebrate retina; and applying a first machine vision algorithm to data generated based at least in part on the encoded data.
    Type: Application
    Filed: August 24, 2012
    Publication date: December 4, 2014
    Inventors: Sheila Nirenberg, Illya Bomash