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 [BibTeX] [Marc21]
Face Recognition with Disparity Corrected Gabor Phase Differences
Type of publication: Conference paper
Citation: Gunther_ICANN2012_2012
Publication status: Published
Booktitle: Artificial Neural Networks and Machine Learning
Series: Lecture Notes in Computer Science
Volume: 7552
Year: 2012
Month: September
Pages: 411-418
Publisher: Springer Berlin
Location: Heidelberg
ISBN: 978-3-642-33268-5
DOI: 10.1007/978-3-642-33269-2_52
Abstract: 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.
Keywords: Disparity correction, Gabor graph, Gabor phase
Projects Idiap
Authors Günther, Manuel
Haufe, Dennis
Würtz, Rolf P.
Editors Villa, Alessandro E. P.
Duch, Włodzisław
Érdi, Péter
Masulli, Francesco
Palm, Günther
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Total mark: 0
  • Gunther_ICANN2012_2012.pdf