DocumentCode :
2522888
Title :
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
Link To Document :
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