Patents by Inventor Michal HEKER

Michal HEKER 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).

  • TEMPORALLY COHERENT VOLUMETRIC VIDEO
    Publication number: 20240282054
    Abstract: A method for finding a deformation field transforming a source frame of a volumetric video into a target frame of a volumetric video comprising steps of building a texture implicit function for said target frame and training a neural network to generate said deformation field between said source frame and said target frame, said texture implicit function for said target frame being a texture matching loss for said neural network.
    Type: Application
    Filed: February 16, 2023
    Publication date: August 22, 2024
    Inventors: Vsevolod KAGARLITSKY, Shirley KEINAN, Amir GREEN, Michal HEKER, Michael BIRNBOIM, Gilad TALMON
  • TEMPORALLY COHERENT VOLUMETRIC VIDEO
    Publication number: 20240282046
    Abstract: Systems and methods for generating a volumetric video in which all frames are temporally coherent.
    Type: Application
    Filed: February 16, 2023
    Publication date: August 22, 2024
    Inventors: Vsevolod KAGARLITSKY, Shirley KEINAN, Amir GREEN, Michal HEKER, Michael BIRNBOIM, Gilad TALMON
  • Surface texturing from multiple cameras
    Patent number: 12020363
    Abstract: System and method for texturing a 3D surface using 2D images sourced from a plurality of imaging devices. System and method for applying a realistic texture to a model, based on texture found in one or more two-dimensional (2D) images of the object, with the texture covering the entire 3D model even if there are portions of the object that were invisible in the 2D image. System and method which does not require machine learning, is not incapable of blending between images, and which is not incapable of filling in portions of a 3D model that are invisible in the 2D image.
    Type: Grant
    Filed: March 28, 2022
    Date of Patent: June 25, 2024
    Assignee: TETAVI LTD.
    Inventors: Vsevolod Kagarlitsky, Shirley Keinan, Michael Birnboim, Michal Heker, Gilad Talmon, Michael Tamir
  • SURFACE TEXTURING FROM MULTIPLE CAMERAS
    Publication number: 20220309733
    Abstract: System and method for texturing a 3D surface using 2D images sourced from a plurality of imaging devices. System and method for applying a realistic texture to a model, based on texture found in one or more two-dimensional (2D) images of the object, with the texture covering the entire 3D model even if there are portions of the object that were invisible in the 2D image. System and method which does not require machine learning, is not incapable of blending between images, and which is not incapable of filling in portions of a 3D model that are invisible in the 2D image.
    Type: Application
    Filed: March 28, 2022
    Publication date: September 29, 2022
    Inventors: Vsevolod KAGARLITSKY, Shirley KEINAN, Michael BIRNBOIM, Michal HEKER, Gilad TALMON, Michael TAMIR
  • METHOD OF TRAINING A NEURAL NETWORK CONFIGURED FOR CONVERTING 2D IMAGES INTO 3D MODELS
    Publication number: 20220217321
    Abstract: A computer-implemented method of generating of a database for training a neural network configured for converting 2d images into 3d models comprising steps of: (a) obtaining 3d models; (b) rendering said 3d models in a 2d format from at least one view point; and (c) collecting pairs further comprising said rendered 2d image frame and said corresponding sampled 3d models each.
    Type: Application
    Filed: December 30, 2021
    Publication date: July 7, 2022
    Inventors: Vsevolod KAGARLITSKY, Shirley KEINAN, Michael BIRNBOIM, Amir GREEN, Alik MOKEICHEV, Michal HEKER, Yair BARUCH, Gil WOHLSTADTER, Gilad TALMON, Michael TAMIR