Invention Grant
- Patent Title: Hand skeleton learning, lifting, and denoising from 2D images
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Application No.: US16112264Application Date: 2018-08-24
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Publication No.: US11544871B2Publication Date: 2023-01-03
- Inventor: Onur Guleryuz
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Main IPC: G06T7/73
- IPC: G06T7/73 ; G06K9/62 ; G06T5/00 ; G06T7/60 ; G06F3/03 ; G06F3/01 ; G06V40/10

Abstract:
A processor identifies keypoints on a hand in a two-dimensional image that is captured by a camera. A three-dimensional pose of the hand is determined using locations of the keypoints to access lookup tables (LUTs) that represent potential poses of the hand as a function of the locations of the keypoints. In some embodiments, the keypoints include locations of tips of fingers and a thumb, joints that connect phalanxes of the fingers and the thumb, palm knuckles that represent a point of attachment of the fingers and the thumb to a palm, and a wrist location that indicates a point of attachment of the hand to a forearm. Some embodiments of the LUTs represent 2D coordinates of the fingers and the thumb in corresponding finger pose planes as a function of the locations of the tips of the fingers or thumb relative to the corresponding palm knuckles.
Public/Granted literature
- US20190180473A1 HAND SKELETON LEARNING, LIFTING, AND DENOISING FROM 2D IMAGES Public/Granted day:2019-06-13
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