The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 16, 2023

Filed:

Mar. 02, 2021
Applicant:

True Meeting Inc., Los Altos, CA (US);

Inventors:

Ran Oz, Maccabim, IL;

Yuval Gronau, Ramat Hasharon, IL;

Michael Rabinovich, Tel Aviv, IL;

Osnat Goren-Peyser, Tel Aviv, IL;

Tal Perl, Los Altos, CA (US);

Assignee:

TRUE MEETING INC., Los Altos, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 7/15 (2006.01); G06T 15/04 (2011.01); G06T 15/20 (2011.01); G06T 7/11 (2017.01); G06T 7/70 (2017.01); G06T 17/20 (2006.01); G06T 19/20 (2011.01); G06N 3/04 (2006.01); H04N 7/14 (2006.01); G06F 3/01 (2006.01); G06T 19/00 (2011.01);
U.S. Cl.
CPC ...
H04N 7/157 (2013.01); G06F 3/013 (2013.01); G06N 3/04 (2013.01); G06N 3/0454 (2013.01); G06T 7/11 (2017.01); G06T 7/70 (2017.01); G06T 15/04 (2013.01); G06T 15/20 (2013.01); G06T 15/205 (2013.01); G06T 17/20 (2013.01); G06T 19/20 (2013.01); H04N 7/144 (2013.01); H04N 7/147 (2013.01); H04N 7/152 (2013.01); G06T 19/00 (2013.01); G06T 2200/08 (2013.01); G06T 2207/30201 (2013.01); G06T 2219/2004 (2013.01);
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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