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RI | Publications | Evaluation of Gabor-wavelet-based facial action unit recognition in image sequences of increasing complexity
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Evaluation of Gabor-wavelet-based facial action unit recognition in image sequences of increasing complexity
Y. Tian, T. Kanade, and J. Cohn
Proceedings of the Fifth IEEE International Conference
on Automatic Face and Gesture Recognition, May, 2002, pp. 229 - 234.
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| Abstract |
Previous work suggests that Gabor-wavelet-based methods can achieve high sensitivity and specificity for emotion-specified expressions (e.g., happy, sad) and single action units (AUs) of the Facial Action Coding System (FACS). This paper evaluates a Gabor-wavelet-based method to recognize AUs in image sequences of increasing complexity. A recognition rate of 83% is obtained for three single AUs when image sequences contain homogeneous subjects and are without observable head motion. The accuracy of AU recognition decreases to 32% when the number of AUs increases to nine and the image sequences consist of AU combinations, head motion, and non-homogeneous subjects. For comparison, an average recognition rate of 87.6% is achieved for the geometry-feature-based method. The best recognition is a rate of 92.7% obtained by combining Gabor wavelets and geometry features.
| Notes |
Associated center: VASC
Associated lab/group: Face Group
| Text Reference |
Y. Tian, T. Kanade, and J. Cohn, "Evaluation of Gabor-wavelet-based facial action unit recognition in image sequences of increasing complexity," Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition, May, 2002, pp. 229 - 234.
| BibTeX Reference |
@inproceedings{Tian_2002_4126,
author = "Ying-Li Tian and Takeo Kanade and Jeffrey Cohn",
title = "Evaluation of Gabor-wavelet-based facial action unit recognition in image sequences of increasing complexity",
booktitle = "Proceedings of the Fifth IEEE International Conference
on Automatic Face and Gesture Recognition",
month = "May",
year = "2002",
pages = "229 - 234"
}