Patents by Inventor Loïc Jourdheuil

Loïc Jourdheuil 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).

  • Method for detecting a target in stereoscopic images by learning and statistical classification on the basis of a probability law
    Patent number: 9008364
    Abstract: A method for the detection of a target present in at least two images of the same scene acquired simultaneously by different cameras comprises, under development conditions, a prior target-learning step, said learning step including a step of modeling of the data X corresponding to an area of interest in the images by a distribution law P such that P(X)=P(X2d,X3d,XT)=P(X2d)P(X3d)P(XT) where X2d are the luminance data in the area of interest, X3d are the depth data in the area of interest, and XT are the movement data in the area of interest. The method also comprises, under operating conditions, a simultaneous step of classification of objects present in the images, the target being regarded as detected when an object is classified as being one of the targets learnt during the learning step. Application: monitoring, assistance and security on the basis of stereoscopic images.
    Type: Grant
    Filed: July 8, 2011
    Date of Patent: April 14, 2015
    Assignee: Commissariat A l'Energie Atomique et aux Energies Alternatives
    Inventors: Nicolas Allezard, Loïc Jourdheuil
  • Method for Detecting a Target in Stereoscopic Images by Learning and Statistical Classification on the Basis of a Probability Law
    Publication number: 20130114858
    Abstract: A method for the detection of a target present in at least two images of the same scene acquired simultaneously by different cameras comprises, under development conditions, a prior target-learning step, said learning step including a step of modeling of the data X corresponding to an area of interest in the images by a distribution law P such that P(X)=P(X2d,X3d,XT)=P(X2d)P(X3d)P(XT) where X2d are the luminance data in the area of interest, X3d are the depth data in the area of interest, and XT are the movement data in the area of interest. The method also comprises, under operating conditions, a simultaneous step of classification of objects present in the images, the target being regarded as detected when an object is classified as being one of the targets learnt during the learning step. Application: monitoring, assistance and security on the basis of stereoscopic images.
    Type: Application
    Filed: July 8, 2011
    Publication date: May 9, 2013
    Applicant: Commissariat a L'Energie Atomique et aux Energies Alternatives
    Inventors: Nicolas Allezard, Loïc Jourdheuil