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.
Marilyne Andersen, Jan Wienold, Caroline Karmann, Sneha Jain, Geraldine Cai Ting Quek, Clotilde Marie A Pierson
Marilyne Andersen, Steffen Lutz Hartmeyer, Megan Nicole Danell, Siobhan Francois Rockcastle