Articulated pose identification with sparse point features

We propose a general algorithm for identifying an arbitrary pose of an articulated subject with sparse point features. The algorithm aims to identify a one-to-one correspondence between a model point-set and an observed point-set taken from freeform motion of the articulated subject. We avoid common...

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Bibliographic Details

Main Authors:	Baihua Li, Qinggang Meng, Horst Holstein
Format:	Default Article
Published:	2004
Subjects:	Artificial intelligence not elsewhere classified Other information and computing sciences not elsewhere classified untagged Artificial Intelligence and Image Processing Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/20266
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