3D facial feature location based on local shape map

Author

Mi-Gong, Wang ; Duan-Sheng, Chen

Author_Institution

Dept. of Comput. Sci. & Technol., Huaqiao Univ., Xiamen, China

fYear

2010

fDate

9-11 April 2010

Firstpage

1

Lastpage

6

Abstract

Automatic location of face salient points is one of the key steps in 3D face recognition. This paper presents a fully automatic locating algorithm for 3D facial nose tip and inner eye corner in different views, which relies on a statistical model by combining local shape map and local shape index with the statistical radius of the local shape map. The experimental results on the CASIA 3D face database demonstrate that this method finds more precise location than heuristic algorithms and curvature-based methods.

Keywords

face recognition; feature extraction; shape recognition; solid modelling; 3D face recognition; 3D facial feature location; 3D facial nose tip; CASIA 3D face database; curvature-based method; inner eye corner; local shape index; local shape map; Biometrics; Face detection; Face recognition; Facial animation; Facial features; Fingerprint recognition; Independent component analysis; Lighting; Nose; Shape; Curvedness; Local shape map; SVM; Shape index; salient point detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Signal Processing (IASP), 2010 International Conference on

Conference_Location

Zhejiang

Print_ISBN

978-1-4244-5554-6

Electronic_ISBN

978-1-4244-5556-0

Type

conf

DOI

10.1109/IASP.2010.5476175

Filename

5476175