@inproceedings{4a567714766044daa8a882bc369d19ba,
title = "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 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.",
author = "Xia Mao and Xue, \{Yu Li\} and Zheng Li and Kang Huang and Lv, \{Shan Wei\}",
year = "2009",
doi = "10.1109/WIAMIS.2009.5031445",
language = "英语",
isbn = "9781424436101",
series = "2009 10th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2009",
pages = "113--116",
booktitle = "2009 10th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2009",
note = "2009 10th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2009 ; Conference date: 06-05-2009 Through 08-05-2009",
}