We present a vision system for the 3-D model- based tracking of unconstrained human movement. Using image sequences acquired simultaneously from multiple views, we recover the 3-D body pose at each time instant without the use of markers. The pose- recovery problem is formulated as a search problem and entails finding the pose parameters of a graphical human model whose synthesized appearance is most similar to the actual appearance of the real human in the multi-view images. The models used for this purpose are acquired from the images. We use a decomposition approach and a best-first technique to search through the high dimensional pose parameter space. A robust variant of chamfer matching is used as a fast similarity measure between synthesized and real edge images.
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This brief handout gives a short introduction to MAYA. Only the most important and basic commands are listed here. For further information and special knowledge to all the commands you can temporarily lend a MAYA manual at the Lynn studio. For any other questions contact us.
In this intro several abbreviations are used:
LMB – Left mouse button
RMB – Right mouse button
MMB – middle mouse button
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