Eigenfaces, Fisherfaces, Laplacianfaces, Marginfaces – How to Face the Face Verification Task

Maciej Smiatacz

doi:10.1007/978-3-319-00969-8_18

Eigenfaces, Fisherfaces, Laplacianfaces, Marginfaces – How to Face the Face Verification Task

Abstract

This paper describes the exhaustive tests of four known methods of linear transformations (Eigenfaces, Fisherfaces, Laplacianfaces and Marginfaces) in the context of face verification task. Additionally, we introduce a new variant of the transformation (Laplacianface + LDA), and the specific interval-based decision rule. Both of them improve the performance of face verification, in general, however, our experiments show that the linear transformations are of marginal importance in this field.

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Category:: Conference activity
Type:: materiały konferencyjne indeksowane w Web of Science
Title of issue:: W : Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013 strony 187 - 196
Language:: English
Publication year:: 2013
Bibliographic description:: Smiatacz M..: Eigenfaces, Fisherfaces, Laplacianfaces, Marginfaces – How to Face the Face Verification Task, W: W : Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013, Springer ,.
DOI:: Digital Object Identifier (open in new tab) 10.1007/978-3-319-00969-8_18
Verified by:: Gdańsk University of Technology