Quadtree principal component analysis and its application to facial expression classification

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

doi:10.1109/ICSMC.1999.816660

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 proceeding › Conference contribution › peer-review

5 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 language	English
Title of host publication	IEEE SMC'99 Conference Proceedings
Subtitle of host publication	1999 IEEE International Conference on Systems, Man, and Cybernetics
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	VI-835 - VI-839
Number of pages	5
ISBN (Print)	0-7803-5731-0
DOIs	https://doi.org/10.1109/ICSMC.1999.816660
Publication status	Published - 1999
Event	1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn Duration: 12 Oct 1999 → 15 Oct 1999

Publication series

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

Conference

Conference	1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics'
City	Tokyo, Jpn
Period	12/10/99 → 15/10/99

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10.1109/ICSMC.1999.816660Licence: In Copyright

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Kouzani, A. Z., He, F., & Sammut, K. (1999). Quadtree principal component analysis and its application to facial expression classification. In IEEE SMC'99 Conference Proceedings: 1999 IEEE International Conference on Systems, Man, and Cybernetics (pp. VI-835 - VI-839). (Proceedings of the IEEE International Conference on Systems, Man and Cybernetics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSMC.1999.816660

Kouzani, A. Z. ; He, F. ; Sammut, K. / Quadtree principal component analysis and its application to facial expression classification. IEEE SMC'99 Conference Proceedings: 1999 IEEE International Conference on Systems, Man, and Cybernetics. Institute of Electrical and Electronics Engineers Inc., 1999. pp. VI-835 - VI-839 (Proceedings of the IEEE International Conference on Systems, Man and Cybernetics).

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title = "Quadtree principal component analysis and its application to facial expression classification",

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.",

author = "Kouzani, {A. Z.} and F. He and K. Sammut",

year = "1999",

doi = "10.1109/ICSMC.1999.816660",

language = "English",

isbn = "0-7803-5731-0",

series = "Proceedings of the IEEE International Conference on Systems, Man and Cybernetics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "VI--835 -- VI--839",

booktitle = "IEEE SMC'99 Conference Proceedings",

note = "1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' ; Conference date: 12-10-1999 Through 15-10-1999",

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Kouzani, AZ, He, F & Sammut, K 1999, Quadtree principal component analysis and its application to facial expression classification. in IEEE SMC'99 Conference Proceedings: 1999 IEEE International Conference on Systems, Man, and Cybernetics. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Institute of Electrical and Electronics Engineers Inc., pp. VI-835 - VI-839, 1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics', Tokyo, Jpn, 12/10/99. https://doi.org/10.1109/ICSMC.1999.816660

Quadtree principal component analysis and its application to facial expression classification. / Kouzani, A. Z.; He, F.; Sammut, K.

IEEE SMC'99 Conference Proceedings: 1999 IEEE International Conference on Systems, Man, and Cybernetics. Institute of Electrical and Electronics Engineers Inc., 1999. p. VI-835 - VI-839 (Proceedings of the IEEE International Conference on Systems, Man and Cybernetics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Quadtree principal component analysis and its application to facial expression classification

AU - Kouzani, A. Z.

AU - He, F.

AU - Sammut, K.

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

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DO - 10.1109/ICSMC.1999.816660

M3 - Conference contribution

AN - SCOPUS:0033314931

SN - 0-7803-5731-0

T3 - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

SP - VI-835 - VI-839

BT - IEEE SMC'99 Conference Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics'

Y2 - 12 October 1999 through 15 October 1999

ER -

Kouzani AZ, He F, Sammut K. Quadtree principal component analysis and its application to facial expression classification. In IEEE SMC'99 Conference Proceedings: 1999 IEEE International Conference on Systems, Man, and Cybernetics. Institute of Electrical and Electronics Engineers Inc. 1999. p. VI-835 - VI-839. (Proceedings of the IEEE International Conference on Systems, Man and Cybernetics). doi: 10.1109/ICSMC.1999.816660

Quadtree principal component analysis and its application to facial expression classification

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