Patents by Inventor Chen Paz

Chen Paz 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: 12014471
    Abstract: Techniques are provided for generation of synthetic 3-dimensional object image variations for training of recognition systems. An example system may include an image synthesizing circuit configured to synthesize a 3D image of the object (including color and depth image pairs) based on a 3D model. The system may also include a background scene generator circuit configured to generate a background for each of the rendered image variations. The system may further include an image pose adjustment circuit configured to adjust the orientation and translation of the object for each of the variations. The system may further include an illumination and visual effect adjustment circuit configured to adjust illumination of the object and the background for each of the variations, and to further adjust visual effects of the object and the background for each of the variations based on application of simulated camera parameters.
    Type: Grant
    Filed: February 6, 2023
    Date of Patent: June 18, 2024
    Assignee: Tahoe Research, Ltd.
    Inventors: Amit Bleiweiss, Chen Paz, Ofir Levy, Itamar Ben-Ari, Yaron Yanai
  • Publication number: 20230186584
    Abstract: Techniques are provided for generation of synthetic 3-dimensional object image variations for training of recognition systems. An example system may include an image synthesizing circuit configured to synthesize a 3D image of the object (including color and depth image pairs) based on a 3D model. The system may also include a background scene generator circuit configured to generate a background for each of the rendered image variations. The system may further include an image pose adjustment circuit configured to adjust the orientation and translation of the object for each of the variations. The system may further include an illumination and visual effect adjustment circuit configured to adjust illumination of the object and the background for each of the variations, and to further adjust visual effects of the object and the background for each of the variations based on application of simulated camera parameters.
    Type: Application
    Filed: February 6, 2023
    Publication date: June 15, 2023
    Applicant: Tahoe Research, Ltd.
    Inventors: Amit BLEIWEISS, Chen PAZ, Ofir LEVY, Itamar BEN-ARI, Yaron YANAI
  • Patent number: 11574453
    Abstract: Techniques are provided for generation of synthetic 3-dimensional object image variations for training of recognition systems. An example system may include an image synthesizing circuit configured to synthesize a 3D image of the object (including color and depth image pairs) based on a 3D model. The system may also include a background scene generator circuit configured to generate a background for each of the rendered image variations. The system may further include an image pose adjustment circuit configured to adjust the orientation and translation of the object for each of the variations. The system may further include an illumination and visual effect adjustment circuit configured to adjust illumination of the object and the background for each of the variations, and to further adjust visual effects of the object and the background for each of the variations based on application of simulated camera parameters.
    Type: Grant
    Filed: September 4, 2020
    Date of Patent: February 7, 2023
    Assignee: Tahoe Research, Ltd.
    Inventors: Amit Bleiweiss, Chen Paz, Ofir Levy, Itamar Ben-Ari, Yaron Yanai
  • Publication number: 20210056768
    Abstract: Techniques are provided for generation of synthetic 3-dimensional object image variations for training of recognition systems. An example system may include an image synthesizing circuit configured to synthesize a 3D image of the object (including color and depth image pairs) based on a 3D model. The system may also include a background scene generator circuit configured to generate a background for each of the rendered image variations. The system may further include an image pose adjustment circuit configured to adjust the orientation and translation of the object for each of the variations. The system may further include an illumination and visual effect adjustment circuit configured to adjust illumination of the object and the background for each of the variations, and to further adjust visual effects of the object and the background for each of the variations based on application of simulated camera parameters.
    Type: Application
    Filed: September 4, 2020
    Publication date: February 25, 2021
    Applicant: INTEL CORPORATION
    Inventors: Amit Bleiweiss, Chen Paz, Ofir Levy, Itamar Ben-Ari, Yaron Yanai
  • Patent number: 10769862
    Abstract: Techniques are provided for generation of synthetic 3-dimensional object image variations for training of recognition systems. An example system may include an image synthesizing circuit configured to synthesize a 3D image of the object (including color and depth image pairs) based on a 3D model. The system may also include a background scene generator circuit configured to generate a background for each of the rendered image variations. The system may further include an image pose adjustment circuit configured to adjust the orientation and translation of the object for each of the variations. The system may further include an illumination and visual effect adjustment circuit configured to adjust illumination of the object and the background for each of the variations, and to further adjust visual effects of the object and the background for each of the variations based on application of simulated camera parameters.
    Type: Grant
    Filed: August 2, 2018
    Date of Patent: September 8, 2020
    Assignee: Intel Corporation
    Inventors: Amit Bleiweiss, Chen Paz, Ofir Levy, Itamar Ben-Ari, Yaron Yanai
  • Publication number: 20180357834
    Abstract: Techniques are provided for generation of synthetic 3-dimensional object image variations for training of recognition systems. An example system may include an image synthesizing circuit configured to synthesize a 3D image of the object (including color and depth image pairs) based on a 3D model. The system may also include a background scene generator circuit configured to generate a background for each of the rendered image variations. The system may further include an image pose adjustment circuit configured to adjust the orientation and translation of the object for each of the variations. The system may further include an illumination and visual effect adjustment circuit configured to adjust illumination of the object and the background for each of the variations, and to further adjust visual effects of the object and the background for each of the variations based on application of simulated camera parameters.
    Type: Application
    Filed: August 2, 2018
    Publication date: December 13, 2018
    Applicant: INTEL CORPORATION
    Inventors: Amit Bleiweiss, Chen Paz, Ofir Levy, Itamar Ben-Ari, Yaron Yanai
  • Patent number: 10068385
    Abstract: Techniques are provided for generation of synthetic 3-dimensional object image variations for training of recognition systems. An example system may include an image synthesizing circuit configured to synthesize a 3D image of the object (including color and depth image pairs) based on a 3D model. The system may also include a background scene generator circuit configured to generate a background for each of the rendered image variations. The system may further include an image pose adjustment circuit configured to adjust the orientation and translation of the object for each of the variations. The system may further include an illumination and visual effect adjustment circuit configured to adjust illumination of the object and the background for each of the variations, and to further adjust visual effects of the object and the background for each of the variations based on application of simulated camera parameters.
    Type: Grant
    Filed: December 15, 2015
    Date of Patent: September 4, 2018
    Assignee: Intel Corporation
    Inventors: Amit Bleiweiss, Chen Paz, Ofir Levy, Itamar Ben-Ari, Yaron Yanai
  • Publication number: 20170169620
    Abstract: Techniques are provided for generation of synthetic 3-dimensional object image variations for training of recognition systems. An example system may include an image synthesizing circuit configured to synthesize a 3D image of the object (including color and depth image pairs) based on a 3D model. The system may also include a background scene generator circuit configured to generate a background for each of the rendered image variations. The system may further include an image pose adjustment circuit configured to adjust the orientation and translation of the object for each of the variations. The system may further include an illumination and visual effect adjustment circuit configured to adjust illumination of the object and the background for each of the variations, and to further adjust visual effects of the object and the background for each of the variations based on application of simulated camera parameters.
    Type: Application
    Filed: December 15, 2015
    Publication date: June 15, 2017
    Applicant: INTEL CORPORATION
    Inventors: Amit Bleiweiss, Chen Paz, Ofir Levy, Itamar Ben-Ari, Yaron Yanai