Lophoscopic Pca: a Novel Method for Face Recognition
نویسندگان
چکیده
In this paper, a new technique called Lophoscopic PCA is developed for recognition of partially occluded faces and faces with strong facial expression variations. As opposed to the PCA or the Eigenfeatures approaches, this method does not try to solve the face recognition problem neither from a holistic, nor a feature perspective; in fact it studies the problem from a near or pseudo-holistic perspective. The main idea is to “eliminate” some features which may cause a reduction of the recognition accuracy under special conditions (facial expression variations or appearance of disguises). To test and evaluate the performance of the new technique, a series of experiments are carried out on the UPC face database. The experimental results have shown that using Lophoscopic PCA the recognition accuracy can increase in comparison with the classical PCA method and be more robust against exaggerated changes in the facial expression or the appearance of objects like sun glasses.
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