DocumentCode :
3499798
Title :
Multi-template ASM Method for feature points detection of facial image with diverse expressions
Author :
Li, Ying ; Lai, J.H. ; Yuen, Pong C.
Author_Institution :
Dept. of Math., SUN YAT-SEN Univ.
fYear :
2006
fDate :
2-6 April 2006
Firstpage :
435
Lastpage :
440
Abstract :
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
Keywords :
face recognition; feature extraction; image texture; sampling methods; asymmetric sampling strategy; facial image; feature points detection; multitemplate active shape model; nonlinear shape variation; texture information; Computer vision; Eyes; Face detection; Face recognition; Facial animation; Facial features; Mouth; Shape; State estimation; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Face and Gesture Recognition, 2006. FGR 2006. 7th International Conference on
Conference_Location :
Southampton
Print_ISBN :
0-7695-2503-2
Type :
conf
DOI :
10.1109/FGR.2006.81
Filename :
1613058
Link To Document :
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