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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items