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:
Jun. 10, 2025

Filed:

Nov. 16, 2022
Applicant:

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

Inventors:

Ran Oz, Maccabim, IL;

Amir Bassan-Eskenazi, Los Altos, CA (US);

Yuval Gronau, Ramat Hasharon, IL;

Michael Rabinovich, Tel Aviv, IL;

Osnat Goren-Peyser, Tel Aviv, IL;

Tal Perl, Los Altos, CA (US);

Erez Posner, Rehovot, IL;

Assignee:

Cavendish Capital LLC, Wilmington, DE (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 7/15 (2006.01); G06F 3/01 (2006.01); G06N 3/04 (2023.01); G06N 3/045 (2023.01); G06T 7/11 (2017.01); G06T 7/70 (2017.01); G06T 15/04 (2011.01); G06T 15/20 (2011.01); G06T 17/20 (2006.01); G06T 19/00 (2011.01); G06T 19/20 (2011.01); H04N 7/14 (2006.01);
U.S. Cl.
CPC ...
H04N 7/157 (2013.01); G06F 3/013 (2013.01); G06N 3/04 (2013.01); G06N 3/045 (2023.01); 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 creating a variable model of a face of a person, the method comprises: obtaining a non-riggable model of the face of the person; performing a first approximation process that comprises generating an intermediate variable model that approximates the non-riggable model, using an interactive variable model infrastructure; wherein the generating comprises iteratively changing shape parameters of the intermediate model until fulfilling a proximity condition; and performing a second approximation process that comprises generating the variable model, by iteratively modifying vertices.


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