Efficient tensor based face recognition
Contribuinte(s) |
[Unknown] |
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Data(s) |
01/01/2008
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Resumo |
This paper addresses the limitation of current multilinear PCA based techniques, in terms of pro- hibitive computational cost of testing and poor gen- eralisation in some scenarios, when applied to large training databases. We define person-specific eigen-modes to obtain a set of projection bases, wherein a particular basis captures variation across light- ings and viewpoints for a particular person. A new recognition approach is developed utilizing these bases. The proposed approach performs on a par with the existing multilinear approaches, whilst sig- nificantly reducing the complexity order of the testing algorithm.<br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
http://dro.deakin.edu.au/eserv/DU:30044585/venkatesh-efficienttensor-2008.pdf http://dx.doi.org/10.1109/ICPR.2008.4761706 |
Direitos |
2008, IEEE |
Palavras-Chave | #Australia #computational efficiency #face recognition #image databases #image recognition #image reconstruction #performance evaluation #principal component analysis #tensile stress #testing |
Tipo |
Conference Paper |