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Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG'06)
Multi-template ASM Method for Feature Points Detection of Facial Image with Diverse Expressions
University of Southampton,UK
April 10-April 12
ISBN: 0-7695-2503-2
ASCII Text
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Ying Li, J H Lai, Pong C Yuen, "Multi-template ASM Method for Feature Points Detection of Facial Image with Diverse Expressions," Automatic Face and Gesture Recognition, IEEE International Conference on, pp. 435-440, Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG'06), 2006.
 
 
BibTex
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@article{ 10.1109/FGR.2006.81,
author = {Ying Li and J H Lai and Pong C Yuen},
title = {Multi-template ASM Method for Feature Points Detection of Facial Image with Diverse Expressions},
journal ={Automatic Face and Gesture Recognition, IEEE International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2503-2},
pages = {435-440},
doi = {http://doi.ieeecomputersociety.org/10.1109/FGR.2006.81},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Automatic Face and Gesture Recognition, IEEE International Conference on
TI - Multi-template ASM Method for Feature Points Detection of Facial Image with Diverse Expressions
SN - 0-7695-2503-2
SP435
EP440
A1 - Ying Li,
A1 - J H Lai,
A1 - Pong C Yuen,
PY - 2006
KW - null
VL - 0
JA - Automatic Face and Gesture Recognition, IEEE International Conference on
ER -
 
Ying Li, SUN YAT-SEN University, P. R. China
J H Lai, SUN YAT-SEN University, P. R. China
Pong C Yuen, Hong Kong Baptist University, Hong Kong
This paper proposed a multi-template ASM algorithm addressing facial feature points detection under nonlinear shape variation of facial images with various kinds of expression. By adding texture information, adopting asymmetric sampling strategy for the feature points on outer contour of face, building multiple templates and integrating local ASM and global ASM, experimental results show that the proposed multi-template ASM algorithm outperforms traditional single template ASM.
Citation:
Ying Li, J H Lai, Pong C Yuen, "Multi-template ASM Method for Feature Points Detection of Facial Image with Diverse Expressions," fg, pp.435-440, Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG'06), 2006
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