Performance Animation from Low-dimensional Control Signals

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Performance Animation from Low-dimensional Control Signals (2005)

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by Jinxiang Chai , Jessica K. Hodgins

Venue:	ACM Transactions on Graphics
Citations:	129 - 18 self

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@ARTICLE{Chai05performanceanimation,
    author = {Jinxiang Chai and Jessica K. Hodgins},
    title = {Performance Animation from Low-dimensional Control Signals},
    journal = {ACM Transactions on Graphics},
    year = {2005},
    volume = {24},
    pages = {686--696}
}

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Abstract

This paper introduces an approach to performance animation that employs video cameras and a small set of retro-reflective markers to create a low-cost, easy-to-use system that might someday be practical for home use. The low-dimensional control signals from the user's performance are supplemented by a database of pre-recorded human motion. At run time, the system automatically learns a series of local models from a set of motion capture examples that are a close match to the marker locations captured by the cameras. These local models are then used to reconstruct the motion of the user as a full-body animation. We demonstrate the power of this approach with real-time control of six different behaviors using two video cameras and a small set of retro-reflective markers. We compare the resulting animation to animation from commercial motion capture equipment with a full set of markers.

Keyphrases

performance animation low-dimensional control signal retro-reflective marker small set local model video camera real-time control motion capture home use marker location close match full-body animation run time easy-to-use system commercial motion capture equipment different behavior pre-recorded human motion full set

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