Face Recognition with Disparity Corrected Gabor Phase Differences [chapter]

Manuel Günther, Dennis Haufe, Rolf P. Würtz
2012 Lecture Notes in Computer Science  
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 disparitycorrected 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.
doi:10.1007/978-3-642-33269-2_52 fatcat:cobnxjwusjgsjei66dqea7pd4i