Performance animation from low-dimensional control signals

  • Authors:
  • Jinxiang Chai;Jessica K. Hodgins

  • Affiliations:
  • Carnegie Mellon University;Carnegie Mellon University

  • Venue:
  • ACM SIGGRAPH 2005 Papers
  • Year:
  • 2005

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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.