Invention Grant
- Patent Title: Generating a 3D visual representation of the 3D object using a neural network selected out of multiple neural networks
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Application No.: US17249478Application Date: 2021-03-02
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Publication No.: US11652959B2Publication Date: 2023-05-16
- Inventor: Ran Oz , Yuval Gronau , Michael Rabinovich , Osnat Goren-Peyser , Tal Perl
- Applicant: TRUE MEETING INC.
- Applicant Address: US CA Los Altos
- Assignee: TRUE MEETING INC.
- Current Assignee: TRUE MEETING INC.
- Current Assignee Address: US CA Los Altos
- Agency: Reches Patents
- Main IPC: H04N7/15
- IPC: H04N7/15 ; G06T15/04 ; G06T15/20 ; G06T7/11 ; G06T7/70 ; G06T17/20 ; G06T19/20 ; G06N3/04 ; H04N7/14 ; G06F3/01 ; G06T19/00

Abstract:
A method for generating a three dimensional (3D) visual representation of a sensed object that is three dimensional, the method comprises obtaining at least one 3D visual representation parameter, the visual representation parameters is selected out of a size parameter, a resolution parameter, and a resource consumption parameter; obtaining object information that represents the sensed object; selecting, based on the at least one parameter, a neural network for generating the visual representation of the sensed object; and generating the 3D visual representation of the 3D object by the selected neural network.
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