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:
Feb. 22, 2022

Filed:

Apr. 30, 2020
Applicant:

Shanghai United Imaging Intelligence Co., Ltd., SHANGHAI, CN;

Inventors:

Srikrishna Karanam, Brighton, MA (US);

Ziyan Wu, Lexington, MA (US);

Georgios Georgakis, Philadelphia, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G16H 30/40 (2018.01); G06T 7/00 (2017.01); G06T 7/90 (2017.01); G06T 17/00 (2006.01); G06K 9/46 (2006.01); G06T 7/50 (2017.01); G06T 7/70 (2017.01); G06K 9/62 (2022.01); G06T 17/20 (2006.01); G16H 10/60 (2018.01); G16H 30/20 (2018.01); A61B 5/00 (2006.01); G06K 9/52 (2006.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); A61B 5/0035 (2013.01); A61B 5/70 (2013.01); G06K 9/00201 (2013.01); G06K 9/00335 (2013.01); G06K 9/00362 (2013.01); G06K 9/46 (2013.01); G06K 9/52 (2013.01); G06K 9/6217 (2013.01); G06K 9/6256 (2013.01); G06K 9/6265 (2013.01); G06T 7/0012 (2013.01); G06T 7/50 (2017.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); G06T 17/00 (2013.01); G06T 17/20 (2013.01); G16H 10/60 (2018.01); G16H 30/20 (2018.01); G06K 2209/055 (2013.01); G06T 2200/08 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Human mesh model recovery may utilize prior knowledge of the hierarchical structural correlation between different parts of a human body. Such structural correlation may be between a root kinematic chain of the human body and a head or limb kinematic chain of the human body. Shape and/or pose parameters relating to the human mesh model may be determined by first determining the parameters associated with the root kinematic chain and then using those parameters to predict the parameters associated with the head or limb kinematic chain. Such a task can be accomplished using a system comprising one or more processors and one or more storage devices storing instructions that, when executed by the one or more processors, cause the one or more processors to implement one or more neural networks trained to perform functions related to the task.


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