Patents by Inventor James NORAKY

James NORAKY 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: 10841491
    Abstract: Aspects of the embodiments are directed to passive depth determination. Initially, a high power depth map of a scene can be created. An object in the scene can be identified, such as a rigid body or other object or portion of an object. A series of lower power or RGB images can be captured. The object can be located in one or more of the lower power or RGB images. A change in the position of an object, represented by a set of pixels, can be determined. From the change in position of the object, a new depth of the object can be extrapolated. The extrapolated depth of the object can be used to update the high power depth map.
    Type: Grant
    Filed: March 14, 2017
    Date of Patent: November 17, 2020
    Assignee: Analog Devices, Inc.
    Inventors: Charles Mathy, Sefa Demirtas, Bin Huo, Dhruvesh Gajaria, Jonathan Ari Goldberg, Nicolas Le Dortz, Tao Yu, James Noraky
  • Publication number: 20170272651
    Abstract: Aspects of the embodiments are directed to passive depth determination. Initially, a high power depth map of a scene can be created. An object in the scene can be identified, such as a rigid body or other object or portion of an object. A series of lower power or RGB images can be captured. The object can be located in one or more of the lower power or RGB images. A change in the position of an object, represented by a set of pixels, can be determined. From the change in position of the object, a new depth of the object can be extrapolated. The extrapolated depth of the object can be used to update the high power depth map.
    Type: Application
    Filed: March 14, 2017
    Publication date: September 21, 2017
    Applicant: Analog Devices, Inc.
    Inventors: CHARLES MATHY, Sefa DEMIRTAS, Bin HUO, Dhruvesh GAJARIA, Jonathan Ari GOLDBERG, Nicolas LE DORTZ, Tao YU, James NORAKY