Liao C T, Chuang H J, Duan C H,et al. Learning spatial weighting for facial expression analysis via constrained quadratic programming[J]. Pattern Recognition, 2013, 46(11): 3103-3116.
[2]
Baltrusaitis T, McDuff D, Banda N,et al. Real-time inference of mental states from facial expressions and upper body gestures[C]//Proceedings of IEEE International Conference on Automatic Face & Gesture Recognition and Workshops. Santa Barbara,CA:IEEE,2011:866-871.
[3]
Gao F, Wen G J. A new method for affine invariants extraction based on affine geometry[J]. Journal of Image and Graphics, 2011, 16(3): 389-397.[高峰,文贡坚. 利用仿射几何的仿射不变特征提取方法[J]. 中国图象图形学报, 2011,16(3):389-397.][DOI:10.11834/jig.20110315]
[4]
Song K C, Yan Y H, Chen W H, et al. Research and perspective on local binary pattern[J]. Acta Automatic Sinica, 2013, 39(6):730-744.[宋克臣,颜云辉,陈文辉,等. 局部二值模式方法研究与展望[J]. 自动化学报, 2013, 39(6):730-744.]
[5]
Xue Y L, Mao X, Guo Y, et al. The research advance of facial expression recognition in human computer interaction[J]. Journal of Image and Graphics, 2009, 14(5): 764-772.[薛雨丽,毛峡,郭叶,等. 人机交互中的人脸表情识别研究进展[J].中国图象图形学报, 2009, 14(5): 764-772.][DOI:10.11834/jig.20090503]
[6]
Wei R, Jiang L, Tao L M. Facial expression recognition system based on multiple feature integration[J]. Journal of Image and Graphics, 2009, 14(5): 792-800.[魏冉,姜莉,陶霖密. 融合人脸多特征信息的表情识别系统[J]. 中国图象图形学报, 2009, 14(5): 792-800.][DOI: 10.11834/jig.20090506]
[7]
Happy S L, George A, Routray A. A real time facial expression classification system using local binary patterns[C]//Proceedings of IEEE International Conference on Intelligent Human Computer Interaction. Kharagpur:IEEE, 2012:1-5.
[8]
Jabid T, Kabir M H, Oksam C. Facial expression recognition using local directional pattern[C]//Proceedings of IEEE International Conference on Image Processing. Hongkong, China: IEEE, 2010:1605-1608.
[9]
Singh S, Maurya R, Mittal A. Application of complete local binary pattern method for facial expression recognition[C]//Proceedings of IEEE International Conference on Intelligent Human Computer Interaction. Kharagpur:IEEE, 2012:1-4.
[10]
Setyati E, Suprapto Y K, Pumono M H. Facial emotional expressions recognition based on active shape model and radial basis function network[C]//Proceedings of IEEE International Conference on Computational Intelligence for Measurement Systems and Application. Tianjin:IEEE,2012:41-46.
[11]
Astana A, Saragih J, Wagner M, et al. Evaluating AAM fitting methods for facial expression recognition[C]//Proceedings of IEEE International Conference on Affective Computing and Intelligent and Workshops. Amsterdam:IEEE,2009:1-8.
[12]
Liu H B, Zhang G B, Huang Y M, et al. Multiple features extraction and coordination using gabor wavelet transformation and fisherfaces with application to facial expression recognition[C]//Proceedings of Chinese Conference on Pattern Recognition. Chongqing:IEEE,2010:1-5.
[13]
Zhao Y, Su J B. Local characteristic pattern make use of vector triangle for face recognition[J]. Electronic Journal, 2012, 40(11):2309-2314.[赵?,苏剑波. 一种用于人脸识别的矢量三角形局部特征模式[J]. 电子学报, 2012,40(11):2309-2314.]
[14]
Dai D W, Liu D, Su J B. Rapid eye localization based on projection Peak[J]. PR&AI, 2009, 22(4):605-609.[戴景文,刘丹,苏剑波.基于投影峰的眼睛快速定位方法[J]. 模式识别与人工智能, 2009, 22(4):605-609.]
[15]
Liu D H, Qian H, Dai G, et al. An iterative SVM approach to feature selection and classification in high-dimensional datasets[J]. Pattern Recognition, 2013, 46(9):2531-2537.
[16]
Patle A, Chou H, Deepak S. SVM kernel functions for classification[C]//Proceedings of IEEE International Conference on Advances in Technology and Engineering. Mumbai:IEEE,2013:1-9.