Authors:
Brian Wilke
and
Sudhanshu K. Semwal
Affiliation:
University of Colorado, United States
Keyword(s):
Articulated Motion, Motion Capture, Novel Application, Asymmetric Scaling, Under Controlling.
Related
Ontology
Subjects/Areas/Topics:
Animation and Simulation
;
Animation from Motion Capture
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Physics-Based Modeling
Abstract:
Motion captures are an industry standard for producing high-quality, realistic animations. However, generating novel animations from motion captures remains a complex, non-trivial problem. Many techniques have been developed, including kinematics and manually solving the equations of motion. We present a new technique using a physics engine to generate novel animations. Motion captures are effectively simulated within a popular open-source physics engine, Bullet, and two generative techniques are applied. These generative techniques -- asymmetric scaling and under-controlling -- are shown to be simple and straight-forward. The techniques and methods were implemented in Python and C++, and show new promising avenues for generative animation using existing motion captures