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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3499798