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17th International Conference on Pattern Recognition (ICPR'04) - Volume 1
Comparison of Eigenface-Based Feature Vectors under Different Impairments
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
Aristodemos Pnevmatikakis, Athens Information Technology Institute, Greece
Lazaros Polymenakos, Athens Information Technology Institute, Greece
We study the performance of a new eigenface-based method for face recognition. Specifically, we perform DCT preprocessing followed by the PCA-LDA combination. We compare the new method to existing ones (PCA, PCA-LDA, DCT-PCA) under impairments like changes in brightness, direction-of-illumination, hairstyle, clothing, expression, head orientation, and added noise.
Citation:
Aristodemos Pnevmatikakis, Lazaros Polymenakos, "Comparison of Eigenface-Based Feature Vectors under Different Impairments," icpr, vol. 1, pp.296-299, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004
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