DocumentCode :
3022981
Title :
3D face recognition method based on medium frequency information of geometry image
Author :
Hongyan Zou ; Feipeng Da
Author_Institution :
Dept. of Mech. & Electron. Eng., Nanjing Forestry Univ., Nanjing, China
fYear :
2013
fDate :
20-22 Dec. 2013
Firstpage :
1075
Lastpage :
1078
Abstract :
Facial expression is a main problem in the field of 3D face recognition. To overcome the deficiency,this paper proposed a novel face recognition method based on Detailed Geometry Image (DGI). The DGI, which stays invariant under face expressions, is obtained from multi-scale wavelet transform of three different face regions: the circular area around the nose, the upper face region and the entire face region. Then, an authentication score is gained by combining values of their DGIs. Extensive experiments carried out on the available database FRGC(Face Recognition Grand Challenge) v2.0 achieve a 95.7% verification rate with 0.1% False Acceptance Rate (FAR). Experimental results approve that our method is promising in dealing with expression distortion in 3D face recognition.
Keywords :
face recognition; wavelet transforms; 3D face recognition method; DGI; FAR; FRGC v2.0 database; authentication score; circular area; detailed geometry image; expression distortion; face recognition grand challenge; facial expression; false acceptance rate; medium frequency information; multiscale wavelet transform; upper face region; Face; Face recognition; Geometry; Nose; Three-dimensional displays; Wavelet transforms; 3D face recognition; expression variation; geometry image; medium frequency information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
Type :
conf
DOI :
10.1109/MEC.2013.6885222
Filename :
6885222
Link To Document :
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