Invention Grant
- Patent Title: Systems and methods for human mesh recovery
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Application No.: US17666319Application Date: 2022-02-07
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Publication No.: US11786129B2Publication Date: 2023-10-17
- Inventor: Srikrishna Karanam , Ziyan Wu , Georgios Georgakis
- Applicant: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
- Applicant Address: CN Shanghai
- Assignee: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
- Current Assignee: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
- Current Assignee Address: CN Shanghai
- Agency: Zhong Law LLC
- Main IPC: G06K9/00
- IPC: G06K9/00 ; A61B5/00 ; G16H30/40 ; G06T7/00 ; G06T7/90 ; G06T17/00 ; G06T7/50 ; G06T7/70 ; G06T17/20 ; G16H10/60 ; G16H30/20 ; G06V20/64 ; G06V40/10 ; G06V40/20 ; G06V20/62 ; G06F18/21 ; G06F18/214 ; G06V10/764 ; G06V10/774 ; G06V10/778 ; G06V10/82 ; G06V10/42 ; G06V10/40

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.
Public/Granted literature
- US20220165396A1 SYSTEMS AND METHODS FOR HUMAN MESH RECOVERY Public/Granted day:2022-05-26
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