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 |
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Idiap |
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| Added by: | [UNK] |
| Total mark: | 0 |
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