Patents by Inventor Marie-Eve DESROCHERS

Marie-Eve DESROCHERS 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).

  • Patent number: 11908081
    Abstract: Methods of and systems for characterization of a 3D point cloud are disclosed. The method comprises accessing a 3D point cloud, the 3D point cloud being a set of data points representative of the object, determining, based on the 3D point cloud, a 3D reconstructed object, determining, based on the 3D reconstructed object, a digital framework of the 3D point cloud, the digital framework being a ramified 3D tree structure, the digital framework being representative of a base structure of the object, morphing a 3D reference model of the object onto the 3D reconstructed object, the morphing being based on the digital framework; and determining, based on the morphed 3D reference model and the 3D reconstructed object, characteristics of the object.
    Type: Grant
    Filed: October 26, 2022
    Date of Patent: February 20, 2024
    Assignee: APPLICATIONS MOBILES OVERVIEW INC.
    Inventors: Sherif Esmat Omar Abuelwafa, Laurent Juppe, Asma Iben Houriia, Annie-Pier Lavallee, Marie-Eve Desrochers, Bryan Martin
  • Publication number: 20230410340
    Abstract: A device determines a depth value of a 3D irregular surface of an object. The device being at a first viewpoint, 3D position coordinates for the device are initialized, and an imaging system captures a first image comprising at least a portion of the surface. First 3D position coordinates are determined for a first image point. Highest and lowest points of the surface are initialized 5 at the first image point. An inertial sensing unit detects a movement of the device to a current viewpoint. Current position coordinates for the device are determined. A current image comprising another portion of the surface is captured. Current position coordinates are determined for a current image point. The highest or lowest may be updated using the current position coordinates for the current image point. The depth value is updated based on a 0 calculated distance between the highest and lowest points.
    Type: Application
    Filed: December 3, 2021
    Publication date: December 21, 2023
    Inventors: Laurent JUPPE, Sherif Esmat Omar ABUELWAFA, Martin GREGOIRE, Antoine AUSSEDAT, Marie-Eve DESROCHERS, Bryan MARTIN
  • Publication number: 20230047211
    Abstract: Methods of and systems for characterization of a 3D point cloud are disclosed. The method comprises accessing a 3D point cloud, the 3D point cloud being a set of data points representative of the object, determining, based on the 3D point cloud, a 3D reconstructed object, determining, based on the 3D reconstructed object, a digital framework of the 3D point cloud, the digital framework being a ramified 3D tree structure, the digital framework being representative of a base structure of the object, morphing a 3D reference model of the object onto the 3D reconstructed object, the morphing being based on the digital framework; and determining, based on the morphed 3D reference model and the 3D reconstructed object, characteristics of the object.
    Type: Application
    Filed: October 26, 2022
    Publication date: February 16, 2023
    Inventors: Sherif Esmat Omar ABUELWAFA, Laurent JUPPE, Asma Iben HOURIIA, Annie-Pier LAVALLEE, Marie-Eve DESROCHERS, Bryan MARTIN