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Coding facial expressions with Gabor wavelets

Lyons, M., Akamatsu, S., Kamachi, M., Gyoba, J.·2002·Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition

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.

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Crossref · 10.1109/afgr.1998.670949

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Metadata

Authors
Lyons, M., Akamatsu, S., Kamachi, M., & Gyoba, J.
Venue
Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition
Published
2002-11-27
Pages
200-205
ISSN
1541-5058 (ISSN-L)
OpenAlex
W2106115875
Cited by
2,210
References
2
FWCI
15.08
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Coding facial expressions with Gabor wavelets. https://app.cochat.ai/papers/10.1109/afgr.1998.670949
The paper
Lyons, M., Akamatsu, S., Kamachi, M., & Gyoba, J. (2002). Coding facial expressions with Gabor wavelets. Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition. https://doi.org/10.1109/afgr.1998.670949

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.