Abstract
A cascade of linear and nonlinear operators is designed for facial image indexing and recognition. We show that such an approach results in efficient and lowdimensional feature space for face representation with enhanced discriminatory power. Experimental evaluation of the proposed FR algorithm was conducted on MPEG test set with over 8000 images of about 1000 individuals.
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Skarbek, W., Kucharski, K., Bober, M. (2006). CASCADE OF OPERATORS FOR FACIAL IMAGE RECOGNITION AND INDEXING. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_62
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DOI: https://doi.org/10.1007/1-4020-4179-9_62
Publisher Name: Springer, Dordrecht
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