Quadtree principal component analysis and its application to facial expression classification

A. Z. Kouzani, F. He, K. Sammut

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publicationIEEE SMC'99 Conference Proceedings
    Subtitle of host publication1999 IEEE International Conference on Systems, Man, and Cybernetics
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    PagesVI-835 - VI-839
    Number of pages5
    ISBN (Print)0-7803-5731-0
    DOIs
    Publication statusPublished - 1999
    Event1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn
    Duration: 12 Oct 199915 Oct 1999

    Publication series

    NameProceedings of the IEEE International Conference on Systems, Man and Cybernetics
    ISSN (Print)1062-922X

    Conference

    Conference1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics'
    CityTokyo, Jpn
    Period12/10/9915/10/99

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