Patents by Inventor Hossein Javidnia

Hossein Javidnia 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: 10839535
    Abstract: A method for providing depth map information based on image data descriptive of a scene. In one embodiment, after generating an initial sequence of disparity map data, performing a smoothing operation or an interpolation to remove artifact introduced in the disparity map data as a result of segmenting the image data into superpixels.
    Type: Grant
    Filed: July 10, 2019
    Date of Patent: November 17, 2020
    Assignee: FotoNation Limited
    Inventors: Hossein Javidnia, Peter Corcoran
  • Publication number: 20190333237
    Abstract: A method for providing depth map information based on image data descriptive of a scene. In one embodiment, after generating an initial sequence of disparity map data, performing a smoothing operation or an interpolation to remove artifact introduced in the disparity map data as a result of segmenting the image data into superpixels.
    Type: Application
    Filed: July 10, 2019
    Publication date: October 31, 2019
    Applicant: FotoNation Limited
    Inventors: Hossein JAVIDNIA, Peter CORCORAN
  • Patent number: 10462445
    Abstract: A method for improving accuracy of depth map information derived from image data descriptive of a scene. In one embodiment Mutual Feature Map data are created based on initial disparity map data values and the image data descriptive of the scene. The Mutual Feature Map data are applied to create a series of weighting functions representing structural details that can be transferred to the first disparity values to restore degraded features or replace some of the first disparity values with values more representative of structural features present in the image data descriptive of the scene.
    Type: Grant
    Filed: July 19, 2017
    Date of Patent: October 29, 2019
    Assignee: FotoNation Limited
    Inventors: Hossein Javidnia, Peter Corcoran
  • Publication number: 20180027224
    Abstract: A method for improving accuracy of depth map information derived from image data descriptive of a scene. In one embodiment Mutual Feature Map data are created based on initial disparity map data values and the image data descriptive of the scene. The Mutual Feature Map data are applied to create a series of weighting functions representing structural details that can be transferred to the first disparity values to restore degraded features or replace some of the first disparity values with values more representative of structural features present in the image data descriptive of the scene.
    Type: Application
    Filed: July 19, 2017
    Publication date: January 25, 2018
    Inventors: Hossein Javidnia, Peter Corcoran