Face Recognition under Varying Views

Authors:
A. Sehad;H. Hocini;A. Hadid;M. Djeddi;S. Ameur
Affiliations:
-;-;-;-;-
Venue:
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Year:
2000

Citing 4
Cited 1

Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition: Features Versus Templates

IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature-Based Face Recognition Using Mixture-Distance

CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Eigenfaces for recognition

Journal of Cognitive Neuroscience

Multiclient identification system using adaptive probabilistic model

EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications

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Abstract

In this paper "EIGENFACES" are used to recognize human faces. We have developed a method that uses three eigenspaces. The system can identify faces under different angles, even if considerable changes were made in the orientation. First of all we represent the face using the Karhunen-Loeve transform. The face entered is automatically classified according to its orientation. Then we applied the rule of decision of the minimal distance for the identification. The system is simple, powerful and robust.