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Synthesizing physically realistic human motion in low-dimensional, behavior-specific spaces

Published: 01 August 2004 Publication History

Abstract

Optimization is an appealing way to compute the motion of an animated character because it allows the user to specify the desired motion in a sparse, intuitive way. The difficulty of solving this problem for complex characters such as humans is due in part to the high dimensionality of the search space. The dimensionality is an artifact of the problem representation because most dynamic human behaviors are intrinsically low dimensional with, for example, legs and arms operating in a coordinated way. We describe a method that exploits this observation to create an optimization problem that is easier to solve. Our method utilizes an existing motion capture database to find a low-dimensional space that captures the properties of the desired behavior. We show that when the optimization problem is solved within this low-dimensional subspace, a sparse sketch can be used as an initial guess and full physics constraints can be enabled. We demonstrate the power of our approach with examples of forward, vertical, and turning jumps; with running and walking; and with several acrobatic flips.

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cover image ACM Conferences
SIGGRAPH '04: ACM SIGGRAPH 2004 Papers
August 2004
684 pages
ISBN:9781450378239
DOI:10.1145/1186562
  • Editor:
  • Joe Marks
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 August 2004

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Author Tags

  1. motion capture
  2. optimization
  3. physically based animation

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SIGGRAPH '04 Paper Acceptance Rate 83 of 478 submissions, 17%;
Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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  • (2021)Motion Generation and Control of Acrobatic Motion Synergies Emerging From the Momentum Equilibrium Principle2020 IEEE-RAS 20th International Conference on Humanoid Robots (Humanoids)10.1109/HUMANOIDS47582.2021.9555678(362-369)Online publication date: 19-Jul-2021
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