Patents by Inventor Mohamed Amine Ayari

Mohamed Amine Ayari 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).

  • Depth sensor noise
    Patent number: 10586309
    Abstract: Described is a computer-implemented method for learning a function configured for reconstructing, for a class of real objects, a 3D modeled object that represents an instance of the class from a depth map of the instance. The method comprises providing a parametric model of the class, creating a database, and learning the function with the database. The method improves the 3D reconstruction of a real object from a depth map.
    Type: Grant
    Filed: December 19, 2017
    Date of Patent: March 10, 2020
    Assignee: DASSAULT SYSTEMES
    Inventors: Mohamed Amine Ayari, Vincent Guitteny
  • 3D reconstruction of a real object from a depth map
    Patent number: 10499031
    Abstract: The invention notably relates to a computer-implemented method for learning a function configured for reconstructing, for a class of real objects, a 3D modeled object that represents an instance of the class from a depth map of the instance. The method comprises providing a parametric model of the class, creating a database, and learning the function with the database. The method improves the 3D reconstruction of a real object from a depth map.
    Type: Grant
    Filed: September 11, 2017
    Date of Patent: December 3, 2019
    Assignee: Dassault Systemes
    Inventors: Mohamed Amine Ayari, Vincent Guitteny
  • DEPTH SENSOR NOISE
    Publication number: 20180182071
    Abstract: Described is a computer-implemented method for learning a function configured for reconstructing, for a class of real objects, a 3D modeled object that represents an instance of the class from a depth map of the instance. The method comprises providing a parametric model of the class, creating a database, and learning the function with the database. The method improves the 3D reconstruction of a real object from a depth map.
    Type: Application
    Filed: December 19, 2017
    Publication date: June 28, 2018
    Applicant: DASSAULT SYSTEMES
    Inventors: Mohamed Amine Ayari, Vincent Guitteny
  • 3D Reconstruction Of A Real Object From A Depth Map
    Publication number: 20180077400
    Abstract: The invention notably relates to a computer-implemented method for learning a function configured for reconstructing, for a class of real objects, a 3D modeled object that represents an instance of the class from a depth map of the instance. The method comprises providing a parametric model of the class, creating a database, and learning the function with the database. The method improves the 3D reconstruction of a real object from a depth map.
    Type: Application
    Filed: September 11, 2017
    Publication date: March 15, 2018
    Inventors: Mohamed Amine Ayari, Vincent Guitteny