DocumentCode :
2678503
Title :
Face Recognition Based on Geodesic Preserving Projection Algorithm with 3D Morphable Model
Author :
Bai, Xiaoming ; Yin, Baocai ; Shi, Qin ; Sun, Yanfeng
Author_Institution :
Multimedia & Intelligent Software Technol., Beijing Univ. of Tech.
Volume :
2
fYear :
2006
fDate :
17-19 July 2006
Firstpage :
850
Lastpage :
855
Abstract :
A novel nonlinear face recognition method named GPPface is proposed in this paper. GPPface is based on nonlinear dimensionality reduction algorithm, geodesic preserving projection (GPP). As face images are regarded to be embedded in a nonlinear space, GPP is presented to nonlinearly map high-dimensional face images to low-dimensional feature space. GPP overcomes the weaknesses of traditional linear and nonlinear dimensionality reduction algorithms, well preserves the intrinsic structure of the manifold and can fast and efficiently map new sample point to feature space. To recover space structure of face images and tackle small sample size problem, 3D morphable model is developed to derive multiple images of a person from a single image. Experimental results on ORL and PIE face databases show that our method makes impressive performance improvement compared with conventional face recognition methods
Keywords :
differential geometry; face recognition; solid modelling; visual databases; 3D morphable model; GPPface; face databases; geodesic preserving projection; nonlinear dimensionality reduction; nonlinear face recognition; Face recognition; Geometry; Image databases; Laboratories; Level measurement; Multidimensional systems; Projection algorithms; Space technology; Spatial databases; Sun; Face recognition; GPPface; morphable model; nonlinear dimensionality reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0475-4
Type :
conf
DOI :
10.1109/COGINF.2006.365602
Filename :
4216520
Link To Document :
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