IP Library › Granted Patent US 12,328,531
Granted Patent B2
US 12,328,531 · App. 18/056,254 · Granted Jun 10, 2025

Method for creating a variable model of a face of a person

Inventors: Ran Oz (Maccabim, IL); Amir Bassan-Eskenazi (Los Altos, CA); Yuval Gronau (Ramat Hasharon, IL); Michael Rabinovich (Tel Aviv, IL); Osnat Goren-Peyser (Tel Aviv, IL); Tal Perl (Los Altos, CA); Erez Posner (Rehovot, IL)
Assignee: Cavendish Capital LLC
H04N7/157G06F3/013G06N3/04G06N3/045G06T7/11G06T7/70G06T15/04G06T15/20G06T15/205G06T17/20G06T19/20H04N7/144H04N7/147H04N7/152G06T19/00G06T2200/08G06T2207/30201G06T2219/2004
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Quick Facts
Patent No.
US 12,328,531
App. No.
18/056,254
Granted
Jun 10, 2025
Kind
B2
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.

Claims (18)

1. 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 gradual descent proximity condition;

obtaining expression parameters regarding a current expression of the person, and modifying, using the interactive variable model infrastructure, the variable model based on the expression parameters; and

performing a second approximation process that comprises generating the variable model, by iteratively modifying vertices.

2. The method according to claim 1 , wherein a number of shape parameters is a fraction of a number of the vertices.

3. The method according to claim 2 , wherein the variable model is a Flame model.

4. The method according to claim 1 , wherein a number of the shape parameters does not exceed 100.

5. The method according to claim 1 , wherein the non-riggable model lacks an interactive variable model infrastructure.

6. A non-transitory computer readable medium for creating a variable model of a face of a person, the non-transitory computer readable medium stores instructions that once executed by a processor cause the processor to execute steps, the steps comprising:

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 gradual descent proximity condition;

obtaining expression parameters regarding a current expression of the person, and modifying, using the interactive variable model infrastructure, the variable model based on the expression parameters; and

performing a second approximation process that comprises generating the variable model, by iteratively modifying vertices.

7. The non-transitory computer readable medium according to claim 6 , wherein a number of shape parameters is a fraction of a number of the vertices.

8. The non-transitory computer readable medium according to claim 7 , wherein the variable model is a Flame model.

9. The non-transitory computer readable medium according to claim 6 , wherein a number of the shape parameters does not exceed 100.

10. The non-transitory computer readable medium according to claim 6 , wherein the non-riggable model lacks an interactive variable model infrastructure.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 26, 2025
From: TRUEMEETING, INC.
To: CAVENDISH CAPITAL LLC
Reel/Frame 070635/0728 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 18, 2024
From: OZ, RAN; BASSAN-ESKENAZI, AMIR; GRONAU, YUVAL; RABINOVICH, MICHAEL; GOREN-PEYSER, OSNAT; PERL, TAL; POSNER, EREZ
To: TRUE MEETING INC.
Reel/Frame 068320/0446 →
Continuity (10)
Continuation In Part 17539036 · Nov 30, 2021
Continuation 17249468 · Mar 2, 2021
Continuation In Part 17304378 · Jun 20, 2021
Continuation 17249468 · Mar 2, 2021
Continuation In Part 17249468 · Mar 2, 2021
Provisional Application 63201713 · May 10, 2021
Provisional Application 63199014 · Dec 1, 2020
Provisional Application 63081860 · Sep 22, 2020
Provisional Application 63023836 · May 12, 2020
Related Publication 20230106330A1 · Apr 6, 2023
References Cited (3)
US 10341633B2 · Lindner · 2019 [cited by examiner]
US 20120039515A1 · Jeong · 2012 [cited by examiner]
US 20220012953A1 · Powers · 2022 [cited by examiner]