Abstract
Different eigenspace-based approaches have been proposed for the recognition of faces. They differ mostly in the kind of projection method been used and in the similarity matching criterion employed. The aim of this paper is to present a comparative study between some of these different approaches. This study considers theoretical aspects as well as simulations performed using a face database with a few number of classes.
Cite
CITATION STYLE
Navarrete, P., & Ruiz-del-Solar, J. (2002). Comparative study between different eigenspace-based approaches for face recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2275, pp. 178–184). Springer Verlag. https://doi.org/10.1007/3-540-45631-7_25
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