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7

GW
2003
Springer

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Recovering Articulated Motion with a Hierarchical Factorization Method

13 years 9 months ago

Recovering Articulated Motion with a Hierarchical Factorization Method

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Recovering articulated human motion is an important task in many applications including surveillance and human-computer interaction. In this paper, a hierarchical factorization method is proposed for recovering articulated human motion (such as hand gesture) from a sequence of images captured under weak perspective projection. It is robust against missing feature points due to self-occlusion, and various observation noises. The accuracy of our algorithm is veriﬁed by experiments on synthetic data.

Hanning Zhou, Thomas S. Huang

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Added	06 Jul 2010
Updated	06 Jul 2010
Type	Conference
Year	2003
Where	GW
Authors	Hanning Zhou, Thomas S. Huang

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