Robust facial expression recognition based on RPCA and AdaBoost | IEEE Conference Publication | IEEE Xplore

Robust facial expression recognition based on RPCA and AdaBoost


Abstract:

In this paper, we consider the problem of robust facial expression recognition and propose a novel scheme for facial expression recognition under facial occlusion. There ...Show More

Abstract:

In this paper, we consider the problem of robust facial expression recognition and propose a novel scheme for facial expression recognition under facial occlusion. There are two main contributions in this work. Firstly, a novel method for facial occlusion detection based on robust principal component analysis (RPCA) and saliency detection performs efficiently to detect facial occlusions. Secondly, a novel method based on occlusion reconstruction and reweighted AdaBoost classification is prosed for facial expression recognition. Experimental results have shown the effectiveness of our proposed method for robust facial expression recognition.
Date of Conference: 06-08 May 2009
Date Added to IEEE Xplore: 29 May 2009
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Conference Location: London, UK

References

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