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Eigenspace-Based face recognition: A comparative study of different approaches (2005)
| Venue: | IEEE Trans. Syst., Man, Cybern. C, Cybern |
| Citations: | 36 - 7 self |
BibTeX
@ARTICLE{Ruiz-del-solar05eigenspace-basedface,
author = {Javier Ruiz-del-solar and Pablo Navarrete},
title = {Eigenspace-Based face recognition: A comparative study of different approaches},
journal = {IEEE Trans. Syst., Man, Cybern. C, Cybern},
year = {2005},
volume = {35},
pages = {315--325}
}
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Abstract
Eigenspace-based Face Recognition corresponds to one of the most successful methodologies for the computational recognition of faces in digital images. Starting with the Eigenface-Algorithm different eigenspace-based approaches for the recognition of faces have been proposed. They differ mostly in the kind of projection method used (standard-, differential- or kernel-eigenspace), in the projection algorithm employed, in the use of simple or differential images before/after projection, and in the similarity matching criterion or classification method employed. The aim of this paper is to present an independent, comparative study among some of the main eigenspace-based approaches. We believe that carrying out independent studies is relevant, since comparisons are normally performed using the own implementations of the research groups that have proposed each method, which does not consider completely equal working conditions for the algorithms. Very often, more than a comparison between the capabilities of the methods, a contest between the abilities of the research groups is performed. This study considers theoretical aspects as well as simulations performed using the Yale Face Database, a database with few classes and several images per class, and FERET, a database with many classes and few images per class. 1 1.
Keyphrases
eigenspace-based face recognition comparative study different approach research group equal working condition yale face database eigenface-algorithm different eigenspace-based approach independent study successful methodology computational recognition many class projection algorithm digital image several image classification method theoretical aspect main eigenspace-based approach projection method differential image
