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Please use this identifier to cite or link to this item: http://hdl.handle.net/2328/25782

Title: Quadtree principal component analysis and its application to facial expression classification
Authors: Kouzani, Abbas
Keywords: Face recognition
Principal component analysis
Quadtrees
Issue Date: 1999
Publisher: Institute of Electrical and Electronics Engineers Computer Society (IEEE Publishing)
Citation: Kouzani, A. 1999. Quadtree principal component analysis and its application to facial expression classification. 1999 IEEE International Conference on Systems, Man, and Cybernetics, vol. 6, 835 - 839.
Abstract: This paper presents a method called quadtree principal components analysis for facial expression classification. The quadtree principal components analysis is an image transformation that takes its name from the quadtree partition scheme on which it is based. The quadtree principal components analysis method implements a global-local decomposition of the input face image. This solves the problems associated with the existing principal components analysis and local principal components analysis methods when applied to facial expression classification.
URI: http://hdl.handle.net/2328/25782
ISSN: 0780357310
Appears in Collections:Computer Science, Engineering and Mathematics - Collected Works

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