Depth vs. Intensity: Which is more Important for face recognition?

Proceedings - International Conference on Pattern Recognition

Volumn 1, Issue , 2004, Pages 342-345

  Xu, Chenghua ^a   Wang, Yunhong ^a   Tan, Tieniu ^a   Quan, Long ^b  

^a INSTITUTE OF AUTOMATION   (China)

^b HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

Depth features; Face recognition; Intensity features

Indexed keywords

DEPTH FEATURES; INTENSITY FEATURES; MESH FITTING; NOSE TIP DETECTION;

ALGORITHMS; DATABASE SYSTEMS; DECISION MAKING; FEATURE EXTRACTION; INFORMATION ANALYSIS; STATISTICAL METHODS;

FACE RECOGNITION;

EID: 10044221737     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1334122     Document Type: Conference Paper

References (12)

1. W. Zhao, R. Chellappa, P.J. Phillips, and A. Rosenfeld, "Face Recognition: A Literature Survey", ACM Computing Surveys archive, 35(4), pp.399-458, 2003.
2. G.G. Gordon, "Face Recognition based on Depth Maps and Surface Curvature", Proc. SPIE Geometric Methods in Computer Vision, Vol.1570, 1991.
3. C. Beumier and M. Acheroy, "Automatic 3D Face Authentication", Image and Vision Computing, Vol.18, pp.315-321, 2000.
4. C.S. Chua, F. Han, and Y.K. Ho, "3D Human Face Recognition Using Point Signiture", Proc. FG, pp.233-239, 2000.
5. C. Hesher, A. Srivastava, and G.Erlebacher, "A Novel Technique for Face Recognition Using Range Imaging", Inter. Multiconference in Computer Science, 2002.
6. Y. Lee, K. Park, J. Shim, and T. Yi, "3D Face Recognition Using Statistical Multiple Features for the Local Depth Information", Proc. ICVI, 2003.
7. S. Romdhani, V. Blanz, and T. Vetter, "Face Identification by Fitting a 3D Morphable Model using Linear Shape and Texture Error Functions", Proc. ECCV, pp.3-19, 2002.
8. V. Blanz and T. Vetter, "Face Recognition Based on Fitting a 3D Morphable Model", IEEE Trans, on PAMI, 25(9), pp. 1063-1074, 2003.
9. C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition", Data Mining and Knowledge Discovery, 2(2): 121-167, 1998.
10. M. Turk, and A. Pentland, "Eigenfaces for Recognition", Journal of Cognitive Neuroscience, 3(1):71-86, 1991.
11. W.H. Press, B.P. Flannery, S.A. Teukolsky, and W.T. Vetterling. Numerical recipes in C: the art of scientific computation. Cambridge Univ. Press, Cambridge, 1992.
12. C. Xu, Y. Wang, T. Tan, L. quan, "A New Attempt to Face Recognition Using Eigenfaces", Proc. ACCV, pp.884-889, 2004.