Patents by Inventor Mourad Boufarguine

Mourad Boufarguine 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: 10783707
    Abstract: The disclosure notably relates to a computer-implemented method for 3D reconstruction. The method comprises providing a 3D point cloud representing a real object. The method also comprises fitting the 3D point cloud with parametric surfaces. The method also comprises defining a partition of the parametric surfaces into oriented facets which respect intersections between the parametric surfaces. The method also comprises determining, among the oriented facets of the partition, a set of facets that represents a skin of the real object. The determining comprises minimizing an energy. The energy includes a data term and a constraint term. The data term increasingly penalizes discarding facets, as a level of fit between a discarded facet and the 3D point cloud increases. The constraint term penalizes formation of non-skin geometry by kept facets. Such a method provides an improved solution for 3D reconstruction.
    Type: Grant
    Filed: December 21, 2018
    Date of Patent: September 22, 2020
    Assignee: Dassault Systemes
    Inventors: Fernando Manuel Sanchez Bermudez, Mourad Boufarguine, Guillaume Randon
  • Patent number: 10586337
    Abstract: A computer-implemented method of computer vision in a scene that includes one or more transparent objects and/or one or more reflecting objects comprises obtaining a plurality of images of the scene, each image corresponding to a respective acquisition of a physical signal, the plurality of images including at least two images corresponding to different physical signals; and generating a segmented image of the scene based on the plurality of images. This improves the field of computer vision.
    Type: Grant
    Filed: December 29, 2017
    Date of Patent: March 10, 2020
    Assignee: DASSAULT SYSTEMES
    Inventors: Fernando Sanchez Bermudez, Eloi Mehr, David Bonner, Vincent Guitteny, Mourad Boufarguine, Patrick Johnson
  • Publication number: 20190197775
    Abstract: The disclosure notably relates to a computer-implemented method for 3D reconstruction. The method comprises providing a 3D point cloud representing a real object. The method also comprises fitting the 3D point cloud with parametric surfaces. The method also comprises defining a partition of the parametric surfaces into oriented facets which respect intersections between the parametric surfaces. The method also comprises determining, among the oriented facets of the partition, a set of facets that represents a skin of the real object. The determining comprises minimizing an energy. The energy includes a data term and a constraint term. The data term increasingly penalizes discarding facets, as a level of fit between a discarded facet and the 3D point cloud increases. The constraint term penalizes formation of non-skin geometry by kept facets. Such a method provides an improved solution for 3D reconstruction.
    Type: Application
    Filed: December 21, 2018
    Publication date: June 27, 2019
    Applicant: Dassault Systemes
    Inventors: Fernando Manuel SANCHEZ BERMUDEZ, Mourad BOUFARGUINE, Guillaume RANDON
  • Patent number: 10070121
    Abstract: A method for calibrating a depth camera comprising the steps of: S1) using a depth camera (DC) to be calibrated for acquiring a plurality of depth maps (DMS) of a physical three-dimensional reference object (PO), corresponding to different positions of the depth camera relative to the is reference object; S2) computing a three-dimensional reconstruction (3DRi) of the reference object from said depth maps, depending on values assigned to a set of calibration parameters (SCPi) of the depth camera; S3) computing an error (ERRi) between the three-dimensional reconstruction computed at step S2) and a predetermined digital model (RM) of the reference object; said steps S2) and S3) being iterated by assigning different values to said set of calibration parameters of the depth camera; and S4) choosing values (SCP) of said set of calibration parameters which minimize the error computed at step S3); said steps S2) to S4) being performed by a computer.
    Type: Grant
    Filed: December 29, 2015
    Date of Patent: September 4, 2018
    Assignee: DASSAULT SYSTEMES
    Inventor: Mourad Boufarguine
  • Publication number: 20180189957
    Abstract: A computer-implemented method of computer vision in a scene that includes one or more transparent objects and/or one or more reflecting objects comprises obtaining a plurality of images of the scene, each image corresponding to a respective acquisition of a physical signal, the plurality of images including at least two images corresponding to different physical signals; and generating a segmented image of the scene based on the plurality of images. This improves the field of computer vision.
    Type: Application
    Filed: December 29, 2017
    Publication date: July 5, 2018
    Applicant: DASSAULT SYSTEMES
    Inventors: Fernando SANCHEZ BERMUDEZ, Eloi MEHR, David BONNER, Vincent GUITTENY, Mourad BOUFARGUINE, Patrick JOHNSON
  • Patent number: 9886530
    Abstract: The invention notably relates to a computer-implemented method for designing a 3D modeled object representing a real object. The method comprises the steps of providing a 3D representation of the real object, identifying occurrences of a geometric feature at 3D positions of the 3D representation, providing at least one 2D view of the real object, identifying occurrences of a graphic feature at 2D positions of the 2D view, the geometric feature corresponding to the graphic feature, computing camera parameters that minimize a distance between a set of projections of the 3D positions on the 2D view and a set of 2D positions. This provides an improved solution for designing a 3D modeled object representing a real object.
    Type: Grant
    Filed: November 14, 2014
    Date of Patent: February 6, 2018
    Assignee: Dassault Systems
    Inventors: Eloi Mehr, Vincent Guitteny, Mourad Boufarguine
  • Publication number: 20160189358
    Abstract: A method for calibrating a depth camera comprising the steps of: S1) using a depth camera (DC) to be calibrated for acquiring a plurality of depth maps (DMS) of a physical three-dimensional reference object (PO), corresponding to different positions of the depth camera relative to the is reference object; S2) computing a three-dimensional reconstruction (3DRi) of the reference object from said depth maps, depending on values assigned to a set of calibration parameters (SCPi) of the depth camera; S3) computing an error (ERRi) between the three-dimensional reconstruction computed at step S2) and a predetermined digital model (RM) of the reference object; said steps S2) and S3) being iterated by assigning different values to said set of calibration parameters of the depth camera; and S4) choosing values (SCP) of said set of calibration parameters which minimize the error computed at step S3); said steps S2) to S4) being performed by a computer.
    Type: Application
    Filed: December 29, 2015
    Publication date: June 30, 2016
    Applicant: DASSAULT SYSTEMES
    Inventor: Mourad BOUFARGUINE
  • Publication number: 20150142394
    Abstract: The invention notably relates to a computer-implemented method for designing a 3D modeled object representing a real object. The method comprises the steps of providing a 3D representation of the real object, identifying occurrences of a geometric feature at 3D positions of the 3D representation, providing at least one 2D view of the real object, identifying occurrences of a graphic feature at 2D positions of the 2D view, the geometric feature corresponding to the graphic feature, computing camera parameters that minimize a distance between a set of projections of the 3D positions on the 2D view and a set of 2D positions. This provides an improved solution for designing a 3D modeled object representing a real object.
    Type: Application
    Filed: November 14, 2014
    Publication date: May 21, 2015
    Inventors: Eloi Mehr, Vincent Guitteny, Mourad Boufarguine