Date of this Version
Motion graphs have been widely successful in the synthesis of human motions. However, the quality of the generated motions depends heavily on the connectivity of the graphs and the quality of transitions in them. Achieving both of these criteria simultaneously though is difficult. Good connectivity requires transitions between less similar poses, while good motion quality requires transitions only between very similar poses. This paper introduces a new method for building motion graphs. The method first builds a set of interpolated motion clips, which contains many more similar poses than the original data set. The method then constructs a well-connected motion graph (wcMG), by using as little of the interpolated motion clip frames as necessary to provide good connectivity and only smooth transitions. Based on experiments, wcMGs outperform standard motion graphs across different measures, generate good quality motions, allow for high responsiveness in interactive control applications, and do not even require post-processing of the synthesized motions.
This is the author’s version of a work that was accepted for publication in Graphical Models. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms, may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Graphical Models, Volume 71, Issue 4, 2009, doi: 10.1016/j.gmod.2009.04.001
motion graph, motion synthesism interpolation, motion capture, human animation
Zhao, L., & Safonova, A. (2009). Achieving Good Connectivity in Motion Graphs. Graphical Models, 71 (4), 139-152. http://dx.doi.org/10.1016/j.gmod.2009.04.001
Date Posted: 13 January 2016
This document has been peer reviewed.