遮挡条件下的鲁棒表情识别方法

薛雨丽; 毛 峡; Caleanu Catalin-Daniel; 吕善伟

遮挡条件下的鲁棒表情识别方法

1.
北京航空航天大学电子信息工程学院, 北京 100191
2. 蒂米索拉理工大学电子通信系, 蒂米索拉 300223, 罗马尼亚
3. 北京航空航天大学电子信息工程学院, 北京 100191

基金项目: 国家自然科学基金资助项目(60873269); 教育部博士点基金资助项目(20070006057); 中国与罗马尼亚政府间科技合作项目(39-5); UEFISCSU(599/19.01.2009); ANCS(222/15.04.2009)

详细信息

作者简介:
薛雨丽(1980-),女,江苏南通人,博士生,YuLi_Xue@ee.buaa.edu.cn.

中图分类号: TP 391.41
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- 文章访问数: 3109
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- 被引次数: 0
出版历程
- 收稿日期: 2009-03-16
- 网络出版日期: 2010-04-30

Robust facial expression recognition under occlusion condition

1.
School of Electronics and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
2. Faculty of Electronics and Telecommunications, University POLITEHNICA Timisoara, Timisoara 300223, Romania
3. School of Electronics and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 提出了一种对面部遮挡具有鲁棒性的表情识别方法.首先,基于鲁棒主成分分析(RPCA, Robust Principal Component Analysis)对待识别人脸进行重构,并对重构人脸和待识别人脸的差值图像进行显著性检测得到面部遮挡区域;其次,将待识别人脸的遮挡区域由RPCA重构人脸的相应区域进行替换,并由权值更新的AdaBoost分类器对遮挡区域重构后的人脸进行表情识别.在BHU(Beihang University)人脸表情数据库和日本女性表情数据库上进行了各种遮挡情况下的表情识别实验,获得了比AdaBoost方法更好的识别结果,说明基于RPCA和AdaBoost的表情识别方法对多种面部遮挡具有较强的鲁棒性.
- 鲁棒主成分分析 /
- 表情识别 /
- 遮挡检测 /
- 遮挡去除
Abstract: A novel method for facial expression recognition which is robust to facial occlusion was proposed. Firstly, the face to be recognized is reconstructed using robust principal component analysis(RPCA), and saliency detection was used on the difference image of reconstructed face and the face to be recognized to obtain the facial occlusion region. Secondly, facial occlusion region of the face to be recognized was reconstructed by the reconstructed face using RPCA, and a novel reweighted AdaBoost classifier was used on the face after occlusion region reconstruction for facial expression recognition. Finally, facial expression recognition experiments were implemented in different occlusion conditions on Beihang university(BHU) facial expression database and Japanese female facial expression database and gained better recognition results than Adaboost method, showing that this method based on RPCA and AdaBoost is robust to kinds of facial occlusions.
- robust principal component analysis /
- facial expression recognition /
- occlusion detection /
- occlusion removal

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参考文献(1)

[1] Bourel F,Chibelushi C C,Low A A.Recognition of facial expressions in the presence of occlusion //Proceedings of the 12th British Machine Vision Conference.UK:British Machine Vision Association,2001:213-222 [2] Bourel F,Chibelushi C C,Low A A.Robust facial expression recognition using a state-based model of spatially-localised facial dynamics //Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition.Washington,DC,USA:IEEE,2002:106-111 [3] Buciu I,Kotsia I,Pitas I.Facial expression analysis under partial occlusion //Proceedings of IEEE International Conference on Acoustics,Speech,and Signal Processing.Piscataway,NJ,USA:IEEE,2005,5:453-456 [4] Towner H,Slater M.Reconstruction and recognition of occluded facial expressions using PCA //Proceedings of International Conference on Affective Computing and Intelligent Interaction.Berlin,Heidelberg:Springer-Verlag,2007:36-47 [5] De la torre F,Black M J.A framework for robust subspace learning[J].International Journal of Computer Vision,2003,54(1):117-142 [6] Kadir T,Brady M.Saliency,scale and image description[J].International Journal of Computer Vision,2001,45(2):83-105 [7] Lienhart R,Maydt J.An extended set of Haar-like features for rapid object detection //Proceedings of IEEE International Conference on Image Processing.Washington,DC,USA:IEEE,2002:900-903 [8] Viola P,Jones M.Rapid object detection using a boosted cascade of simple features //Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition.Washington,DC,USA:IEEE,2001:511-518 [9] 薛雨丽,毛峡,张帆.BHU人脸表情数据库的设计与实现[J].北京航空航天大学学报,2007,33(2):224-228 Xue Yuli,Mao Xia,Zhang Fan.The design and realization of BHU facial expression database[J].Journal of Beijing University of Aeronautics and Astronautics,2007,33(2):224-228 (in Chinese) [10] Lyons M,Akamatsu S,Kamachi M,et al.Coding facial expressions with Gabor wavelets //Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition.Washington,DC,USA:IEEE,1999:200-205

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