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Human Body Motion Capture via 3D Graph-cuts

Authors: Chengkai Wan; Baozong Yuan; Yunda Sun; Zhenjiang Miao;

Human Body Motion Capture via 3D Graph-cuts

Abstract

In this paper, we propose a new algorithm for markerless vision-based human body motion capture. In our method, motion capture or pose estimation is considered as an energy minimization problem, and the energy function construction is converted to a 3D graph construction. During this procedure, a human model with a certain pose will be taken into account. At last Powell algorithm will be used to optimize the result of the energy function

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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