AN AUTOMATIC FEATURE-BASED FACE RECOGNITION SYSTEM

In this paper a completely automatic face recognition system is presented. The method, working on color images, determines 19 facial fiducial points, and characterizes them applying a bank of Gabor filters. The system is inspired by the Elastic Bunch Graph method [13], but it is completely automatic and computationally more efficient.

[1]  Alex Pentland,et al.  View-based and modular eigenspaces for face recognition , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[2]  Alex Pentland,et al.  Probabilistic Visual Learning for Object Representation , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Federico Girosi,et al.  Training support vector machines: an application to face detection , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[4]  Norbert Krüger,et al.  Face Recognition by Elastic Bunch Graph Matching , 1997, CAIP.

[5]  Jiri Matas,et al.  Fast face localisation and verification , 1999, Image Vis. Comput..

[6]  R. Chellappa,et al.  Subspace Linear Discriminant Analysis for Face Recognition , 1999 .

[7]  Avinash C. Kak,et al.  PCA versus LDA , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Paola Campadelli,et al.  A feature-based face recognition system , 2003, 12th International Conference on Image Analysis and Processing, 2003.Proceedings..

[9]  Raffaella Lanzarotti.  UNIVERSIT ` A DEGLI STUDI DI MILANO Facolta di Scienze Matematiche, Fisiche e Naturali Dottorato in Informatica XVI ciclo FACIAL FEATURE DETECTION AND DESCRIPTION , 2003 .

[10]  Shaoyan Zhang,et al.  Face recognition with support vector machine , 2003, IEEE International Conference on Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003.

[11]  Paola Campadelli,et al.  A Face Recognition System Based on Local Feature Analysis , 2003, AVBPA.

[12]  Paola Campadelli,et al.  Fiducial point localization in color images of face foregrounds , 2004, Image Vis. Comput..

[13]  Alan L. Yuille,et al.  Feature extraction from faces using deformable templates , 2004, International Journal of Computer Vision.