Animating Non-Humanoid Characters with Human Motion Data

Project Members

Katsu Yamane (Disney Research Pittsburgh)
Yuka Ariki (Nara Institute of Science and Technology, Japan)
Jessica Hodgins (Disney Research Los Angeles, Disney Research Pittsburgh)

This paper presents a method for generating animations of non-humanoid characters from human motion capture data. Characters considered in this work have proportion and/or topology significantly different from humans, but are expected to convey expressions and emotions through body language that are understandable to human viewers. Keyframing is most commonly used to animate such characters. Our method provides an alternative for animating non-humanoid characters that leverages motion data from a human subject performing in the style of the target character.

The method consists of a statistical mapping function learned from a small set of corresponding key poses, and a physics-based optimization process to improve the physical realism.We demonstrate our approach on three characters and a variety of motions with emotional expressions.

 

Publications

Adapting Human Motions to Humanoid Robots Through Time Warping Based on a General Motion Feasibility Index-Thumbnail

Adapting Human Motions to Humanoid Robots Through Time Warping Based on a General Motion Feasibility Index
May 26, 2015
IEEE International Conference on Robotics and Automation (ICRA) 2015
Paper File [pdf, 1.93 MB]

Animating Non-Humanoid Characters with Human Motion Data-Thumbnail

Animating Non-Humanoid Characters with Human Motion Data
July 2, 2010
ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA) 2010
Paper File [pdf, 2.89 MB]

Editing Dynamic Human Motions via Momentum and Force-Thumbnail

Editing Dynamic Human Motions via Momentum and Force
July 2, 2010
ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA) 2010
Paper File [pdf, 11.94 MB]

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