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:
Oct. 03, 2023

Filed:

May. 31, 2022
Applicant:

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

Inventors:

Ran Oz, Maccabim, IL;

Omri Kaduri, Los Altos, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 65/401 (2022.01); H04L 65/403 (2022.01); H04N 7/15 (2006.01); H04L 9/40 (2022.01); H04L 12/18 (2006.01); G06T 7/11 (2017.01); G06T 7/70 (2017.01); G06F 3/01 (2006.01); G06N 3/04 (2023.01); 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); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
H04L 65/4015 (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 19/00 (2013.01); G06T 19/20 (2013.01); H04L 12/1818 (2013.01); H04L 63/101 (2013.01); H04L 63/108 (2013.01); H04L 65/403 (2013.01); H04N 7/144 (2013.01); H04N 7/147 (2013.01); H04N 7/152 (2013.01); H04N 7/157 (2013.01); G06T 2200/08 (2013.01); G06T 2207/30201 (2013.01); G06T 2219/2004 (2013.01);
Abstract

A method for three dimensional modeling and rendering of head hair, the method may include obtaining a three dimensional (3D) point cloud of head hair points of a person; determining head hair points related 3D directions indicative of 3D directions of candidate strands that pass through the head hair points; grouping the hear hair points into multiple strand groups, wherein the grouping is based on distances between the head hair points and the head hair points 3D directions; wherein each strand group is associated with strand spatial information; and generating, by a machine learning process, a representation of the head hair based on strand spatial information of the multiple strand groups and on strand shape information.


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