Face recognition using local geometrical features - PCA with Euclidean classifier

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Face recognition using local geometrical features - PCA with Euclidean classifier

The goal of this research is to get the minimum features and produce better recognition rates. Before doing the feature selection, we investigate automatic methods for detecting face anchor points with 412 3D-facial points of 60 individuals. There are 7 images per subject including views presenting...

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Bibliographic Details
Main Authors:	Khalid, Fatimah, Tengku Sembok, Tengku Mohd, Omar, Khairuddin
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2008
Online Access:	http://psasir.upm.edu.my/id/eprint/69617/ http://psasir.upm.edu.my/id/eprint/69617/1/Face%20recognition%20using%20local%20geometrical%20features%20-%20PCA%20with%20Euclidean%20classifier.pdf

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