State of the Art in Face Recognition
by Julio Ponce, Adem Karahoca
Publisher: IN-TECH 2009
Number of pages: 436
Nearest feature classification for face recognition, subspace methods for face recognition, a multi-stage classifier for face recognition undertaken by coarse-to-fine strategy, PCA-ANN face recognition system based on photometric normalization techniques, online incremental face recognition system using eigenface feature and neural classifier, and more.
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Provides an extensive survey of over 100 machine vision methods, with a detailed taxonomy for local, regional and global features. It provides background to develop intuition about why interest point detectors and feature descriptors actually work.
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