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Constraining dense hand surface tracking with elasticity

Published: 27 November 2020 Publication History

Abstract

Many of the actions that we take with our hands involve self-contact and occlusion: shaking hands, making a fist, or interlacing our fingers while thinking. This use of of our hands illustrates the importance of tracking hands through self-contact and occlusion for many applications in computer vision and graphics, but existing methods for tracking hands and faces are not designed to treat the extreme amounts of self-contact and self-occlusion exhibited by common hand gestures. By extending recent advances in vision-based tracking and physically based animation, we present the first algorithm capable of tracking high-fidelity hand deformations through highly self-contacting and self-occluding hand gestures, for both single hands and two hands. By constraining a vision-based tracking algorithm with a physically based deformable model, we obtain an algorithm that is robust to the ubiquitous self-interactions and massive self-occlusions exhibited by common hand gestures, allowing us to track two hand interactions and some of the most difficult possible configurations of a human hand.

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    cover image ACM Transactions on Graphics
    ACM Transactions on Graphics  Volume 39, Issue 6
    December 2020
    1605 pages
    ISSN:0730-0301
    EISSN:1557-7368
    DOI:10.1145/3414685
    Issue’s Table of Contents
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    Publication History

    Published: 27 November 2020
    Published in TOG Volume 39, Issue 6

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    Author Tags

    1. elasticity
    2. hand tracking
    3. simulation

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