Toward a more robust facial expression recognition in occluded images using randomly sampled Gabor based templates

Zhang, Ligang, Tjondronegoro, Dian W., & Chandran, Vinod (2011) Toward a more robust facial expression recognition in occluded images using randomly sampled Gabor based templates. In Proceedings of 2011 IEEE International Conference on Multimedia and Expo, IEEE, a Salle - Universitat Ramon Llull, Barcelona.

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Occlusion is a big challenge for facial expression recognition (FER) in real-world situations. Previous FER efforts to address occlusion suffer from loss of appearance features and are largely limited to a few occlusion types and single testing strategy. This paper presents a robust approach for FER in occluded images and addresses these issues. A set of Gabor based templates is extracted from images in the gallery using a Monte Carlo algorithm. These templates are converted into distance features using template matching. The resulting feature vectors are robust to occlusion. Occluded eyes and mouth regions and randomly places occlusion patches are used for testing. Two testing strategies analyze the effects of these occlusions on the overall recognition performance as well as each facial expression. Experimental results on the Cohn-Kanade database confirm the high robustness of our approach and provide useful insights about the effects of occlusion on FER. Performance is also compared with previous approaches.

Impact and interest:

8 citations in Scopus
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ID Code: 40758
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Facial expression recognition, face occlusion, Gabor, support vector machine
DOI: 10.1109/ICME.2011.6012015
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > Information Systems
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2011 IEEE
Deposited On: 15 Mar 2011 22:20
Last Modified: 05 Jun 2012 03:29

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