Coding facial expressions with Gabor wavelets

Michael Lyons; Shigeru Akamatsu; Miyuki Kamachi; Jiro Gyoba

doi:10.1109/AFGR.1998.670949

Coding facial expressions with Gabor wavelets

Michael Lyons, Shigeru Akamatsu, Miyuki Kamachi, Jiro Gyoba

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

1748 Citations (Scopus)

Abstract

A method for extracting information about facial expressions from images is presented. Facial expression images are coded using a multi-orientation multi-resolution set of Gabor filters which are topographically ordered and aligned approximately with the face. The similarity space derived from this representation is compared with one derived from semantic ratings of the images by human observers. The results show that it is possible to construct a facial expression classifier with Gabor coding of the facial images as the input stage. The Gabor representation shows a significant degree of psychological plausibility, a design feature which may be important for human-computer interfaces.

Original language	English
Title of host publication	Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
Publisher	IEEE Computer Society
Pages	200-205
Number of pages	6
ISBN (Print)	0818683449, 9780818683442
DOIs	https://doi.org/10.1109/AFGR.1998.670949
Publication status	Published - 1998
Externally published	Yes
Event	3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 - Nara, Japan Duration: 1998 Apr 14 → 1998 Apr 16

Publication series

Name	Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998

Other

Other	3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
Country/Territory	Japan
City	Nara
Period	98/4/14 → 98/4/16

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/AFGR.1998.670949

Cite this

Lyons, M., Akamatsu, S., Kamachi, M., & Gyoba, J. (1998). Coding facial expressions with Gabor wavelets. In Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 (pp. 200-205). [670949] (Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998). IEEE Computer Society. https://doi.org/10.1109/AFGR.1998.670949

Coding facial expressions with Gabor wavelets. / Lyons, Michael; Akamatsu, Shigeru; Kamachi, Miyuki et al.
Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998. IEEE Computer Society, 1998. p. 200-205 670949 (Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998).

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

Lyons, M, Akamatsu, S, Kamachi, M & Gyoba, J 1998, Coding facial expressions with Gabor wavelets. in Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998., 670949, Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998, IEEE Computer Society, pp. 200-205, 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998, Nara, Japan, 98/4/14. https://doi.org/10.1109/AFGR.1998.670949

Lyons M, Akamatsu S, Kamachi M, Gyoba J. Coding facial expressions with Gabor wavelets. In Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998. IEEE Computer Society. 1998. p. 200-205. 670949. (Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998). doi: 10.1109/AFGR.1998.670949

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AB - A method for extracting information about facial expressions from images is presented. Facial expression images are coded using a multi-orientation multi-resolution set of Gabor filters which are topographically ordered and aligned approximately with the face. The similarity space derived from this representation is compared with one derived from semantic ratings of the images by human observers. The results show that it is possible to construct a facial expression classifier with Gabor coding of the facial images as the input stage. The Gabor representation shows a significant degree of psychological plausibility, a design feature which may be important for human-computer interfaces.

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Coding facial expressions with Gabor wavelets

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