Preserving spatial information and overcoming variations in appearance for face recognition |
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Authors: | Önsen Toygar Hakan Altınçay |
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Affiliation: | (1) Department of Computer Engineering, Eastern Mediterranean University, Mağusa, Northern Cyprus, Turkey |
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Abstract: | Local feature-based approaches mainly aim to achieve robustness to variations in facial images by assuming that only some
parts of the facial images may be affected. However, such approaches may lose spatial information. In this study, a compromise
feature extraction scheme is studied which extracts local features while preserving spatial information. The proposed scheme
exploits an ensemble of classifiers where each member is constructed using randomly selected design parameters including the
size, number and location of sub-images for local feature extraction. Experiments conducted on FERET and ORL databases have
shown that proposed scheme surpasses the local feature-based reference systems which focus on either local information or
preserving spatial information. |
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Keywords: | |
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