Local versus Global Segmentation for Facial Expression Recognition

Authors:
Jacob Whitehill;Christian W. Omlin
Affiliations:
University of the Western Cape, South Africa;University of the South Pacific, Fiji
Venue:
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Year:
2006

Citing 0
Cited 3

Facial expression recognition system based on rigid and non-rigid motion separation and 3D pose estimation

Pattern Recognition
Shape analysis of local facial patches for 3D facial expression recognition

Pattern Recognition
Robust facial expression recognition in the presence of rotation and partial occlusion

Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference

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Abstract

We examined the open issue of whether FACS action units (AUs) can be recognized more accurately by classifying local regions around the eyes, brows, and mouth compared to analyzing the face as a whole. Our empirical results showed that, contrary to our intuition, local expression analysis showed no consistent improvement in recognition accuracy. Moreover, global analysis outperformed local analysis on certain AUs of the eye and brow regions. We attributed this unexpected result partly to high correlations between different AUs in the Cohn-Kanade expression database. This underlines the importance of establishing a large, publicly available AU database with singly-occurring AUs to facilitate future research.