Face Recognition with Disparity Corrected Gabor Phase Differences

We analyze the relative relevance of Gabor amplitudes and phases for face recognition. We propose an algorithm to reliably estimate offset point disparities from phase differences and show that disparity corrected Gabor phase differences are well suited for face recognition in difficult lighting conditions. The method reaches 74.8% recognition rate on the Lighting set of the CAS-PEAL database and 35.7% verification rate on experiment 2.4 of the FRGC database.


Editor(s):
Villa, Alessandro E. P.
Duch, Włodzisław
Érdi, Péter
Masulli, Francesco
Palm, Günther
Presented at:
Artificial Neural Networks and Machine Learning, Heidelberg
Year:
2012
Publisher:
Springer Berlin
Keywords:
Laboratories:




 Record created 2013-12-19, last modified 2018-03-17

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