Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Face Detection Using the Hausdorff Distance
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Cognitive Neuroscience
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In this paper, we introduce a new face recognition approach robust to allocation error of face features. We show that combining a ''standard method'' for face recognition and a new approach based on a ''cloud of points'' for representing a face image, we obtain a system that not only gives good performance when faces are perfectly detected, but also in the presence of detection errors. Extensive experiments carried out on the ORL and YALE databases of faces prove the advantages of the proposed approach when compared with other well-known techniques.