Motion
Tuesday, 10 August
8:30 - 10:15 am
Petree Hall C
Session Chair: Ronen Barzel, Pixar Animation Studios

Skeletal Parameter Estimation From Optical Motion Capture Data A method for automatically estimating skeleton parameters from optical motion capture data. The method identifies rigid bodies and their connectivity, and estimates relative joint location. Adam Kirk University of California, Berkeley akirk (at) cs.berkeley.edu James F. O'Brien David A. Forsyth University of California, Berkeley
Interactive Motion Decomposition A visual method of decomposing motion into components. These components can be used to alter a second motion so that it exhibits the style of the decomposed motion. Ari Shapiro University of California, Los Angeles ashapiro (at) cs.ucla.edu Yong Cao Petros Faloutsos University of California, Los Angeles
Marker-Less Human Motion Transfer A marker-less system for transferring human motions: given videos of two people performing different motions, the system generates videos of each person performing the motion of the other person. Kong (German) Cheung Carnegie Mellon University german (at) ux2.sp.cs.cmu.edu Simon Baker Jessica Hodgins Takeo Kanade Carnegie Mellon University
Motion Emphasis Filter for Making Mental Motion of 3D Characters A "motion emphasis filter" for making mental motion of 3D characters in computer animation. Mental motion is an exaggerated motion that humans sense as the real motion. Koie Yoshiyuki Saitama University koie (at) ke.ics.saitama-u.ac.jp Toshihiro Komma Shobi University Kondo Kunio Saitama University