DocumentCode :
1577304
Title :
Automatic 3D Facial Feature Extraction Algorithm
Author :
Kaushik, Vandna Dixit ; Singh, S. ; Tiwari, H. ; Goyal, S.K. ; Pathak, V.K. ; Gupta, P.
Author_Institution :
Dept. of Comput. Sci. & Eng., Harcourt Butler Technol. Inst., Kanpur
fYear :
2008
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents a novel algorithm for automatic facial feature extraction from 3D facial data. The proposed algorithm is found to be pose and expression invariant. It is successfully tested on 3D face database from the State University of New York, Binghamton, USA. In order to test the algorithm, the images have been regenerated using these extracted features. Bezier surface algorithm has been used for regeneration.
Keywords :
face recognition; feature extraction; 3D facial data; Bezier surface algorithm; automatic 3D facial feature extraction algorithm; Data mining; Face recognition; Facial features; Feature extraction; Independent component analysis; Linear discriminant analysis; Nose; Principal component analysis; Surface fitting; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Technologies, Mobility and Security, 2008. NTMS '08.
Conference_Location :
Tangier
Print_ISBN :
978-1-42443547-0
Type :
conf
DOI :
10.1109/NTMS.2008.ECP.28
Filename :
4689082
Link To Document :
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