Invention Grant
- Patent Title: Scalable real-time hand tracking
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Application No.: US17527463Application Date: 2021-11-16
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Publication No.: US11783496B2Publication Date: 2023-10-10
- Inventor: Valentin Bazarevsky , Fan Zhang , Andrei Vakunov , Andrei Tkachenka , Matthias Grundmann
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Agency: Dority & Manning, P.A.
- Main IPC: G06T7/246
- IPC: G06T7/246 ; G06T7/73 ; G06V40/20

Abstract:
Example aspects of the present disclosure are directed to computing systems and methods for hand tracking using a machine-learned system for palm detection and key-point localization of hand landmarks. In particular, example aspects of the present disclosure are directed to a multi-model hand tracking system that performs both palm detection and hand landmark detection. Given a sequence of image frames, for example, the hand tracking system can detect one or more palms depicted in each image frame. For each palm detected within an image frame, the machine-learned system can determine a plurality of hand landmark positions of a hand associated with the palm. The system can perform key-point localization to determine precise three-dimensional coordinates for the hand landmark positions. In this manner, the machine-learned system can accurately track a hand depicted in the sequence of images using the precise three-dimensional coordinates for the hand landmark positions.
Public/Granted literature
- US20220076433A1 Scalable Real-Time Hand Tracking Public/Granted day:2022-03-10
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