FACE RECOGNITION APPLIED TO COMPUTER FORENSICS

In this paper, a historical briefing of face recognition is presented. Some psychological aspects of the subject and models considered for face perception are also presented. A model of automated face recognition, based on algorithm designated eigenfaces is considered and presented in details. Applications of the face recognition algorithm for computer forensics are presented, especially for recognizing people in crime scenes. With the purpose of recognizing people with half-occluded faces, concealed with masks or other devices found normally in crime scenes, the concepts of eigenfaces are extended to engage new algorithms called eigeneyes, eigenmouth and eigennose.

[1]  A. Young,et al.  Face and Mind , 1998 .

[2]  P. Quintiliano,et al.  Face Recognition Based on Eigeneyes 1 , 2003 .

[3]  Renato da Veiga Guadagnin,et al.  Practical Procedures to Improve Face Recognition Based on Eigenfaces and Principal Component Analysis 1 , 2001 .

[4]  W. Mischel,et al.  Prototypes in Person Perception1 , 1979 .

[5]  A. Young,et al.  The human face , 1982 .

[6]  Luc Van Gool,et al.  Getting facial features and gestures in 3D , 1998 .

[7]  Rama Chellappa,et al.  A feature based approach to face recognition , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[8]  Paulo Quintiliano,et al.  Face recognition based on eigenfeatures , 2001, International Symposium on Multispectral Image Processing and Pattern Recognition.

[9]  Roberto Brunelli,et al.  Face Recognition: Features Versus Templates , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Vicki Bruce,et al.  In the Eye of the Beholder , 2000 .