Evaluating Video-Based Motion Capture
Motion capture can be an effective method of creating realistic human
motion for animation. Unfortunately, the quality demands for
animation place challenging demands on a capture system. To date,
capture solutions that meet these demands have required specialized
hardware that is invasive and expensive. Computer vision could
make animation data much easier to obtain. Unfortunately, current
techniques fall short of the demands of animation applications. In
this paper, we will explore why the demands of animation lead to a
particularly difficult challenge for capture techniques. We present
a constraint-based methodology for reconstructing the 3D motion
given image observations, and use this as a tool for understanding
the problem. Synthetic experiments confirm that these situations
would arise in practice. The experiments show how even simple
visual tracking information can be used to create human motion but
even with perfect tracking, incorrect reconstructions are not only
possible but inevitable.
Images and movies
BibTex references
@InProceedings{GF02, author = "Gleicher, Michael and Ferrier, Nicola", title = "Evaluating Video-Based Motion Capture", booktitle = "Proceedings of Computer Animation", year = "2002", url = "http://graphics.cs.wisc.edu/Papers/2002/GF02" }