Ekman P, Rolls E T, Perrett D I, et al. Facial Expressions of Emotion: An Old Controversy and New Findings. Philosophical Transactions: Biological Sciences, 1992, 335(273): 63-69
[2]
Tian Yinli, Kanade T, Cohn J. Recognizing Action Units for Facial Expression Analysis. IEEE Trans on Pattern Analysis and Machine Intelligence, 2001, 23(2): 97-115
[3]
Franco L, Treves A. A Neural Network Facial Expression Recognition System Using Unsupervised Local Processing // Proc of the International Symposium on Image and Signal Processing and Analysis. Pula, Croatia, 2001: 628-632
[4]
Cohen I, Sebe N, Garg A, et al. Facial Expression Recognition from Video Sequences: Temporal and Static Modeling. Computer Vision and Image Understanding, 2003, 91(1): 160-187
[5]
Fasel B, Luettin J. Automatic Facial Expression Analysis: A Survey. Pattern Recognition, 2003, 36(1): 259-275
[6]
Vasilescu M A O, Terzopoulos D. Multilinear Analysis of Image Ensembles: TensorFaces // Proc of the European Conference on Computer Vision. Copenhagen, Denmark, 2002, Ⅰ: 447-460
[7]
Gralewski L, Campbell N, Penton-Voak I, et al. Using a Tensor Framework for the Analysis of Facial Dynamics // Proc of the 7th International Conference of Automatic Face and Gesture Recognition. Southampton, UK, 2006: 217 -222
[8]
Hu Changbo, Chang Ya, Feris R, et al. Manifold Based Analysis of Facial Expression // Proc of the Conference on Computer Vision and Pattern Recognition. Washington, USA, 2004, Ⅴ: 81-87
[9]
Chang Ya, Hu Changbo, Turk M. Probabilistic Expression Analysis on Manifolds // Proc of the Conference on Computer Vision and Pattern Recognition. Washington, USA, 2004, Ⅱ: 520-527
[10]
Lee C S, Elgammal A. Facial Expression Analysis Using Nonlinear Decomposable Generative Models // Proc of the 2nd IEEE International Workshop on Analysis and Modeling of Faces and Gestures. Beijing, China, 2005: 17-31
[11]
Shan Caifeng, Gong Shaogang, McOwan P W. Appearance Manifold of Facial Expression // Proc of the IEEE International Workshop on Computer Vision in Human-Computer Interaction. Beijing, China, 2005: 221-230
[12]
Kong Hui, Teoh E K, Wang Jiangang, et al. Two Dimensional Fisher Discriminant Analysis: Forget about Small Sample Size Problem // Proc of the IEEE International Conference on Acoustics, Speech, and Signal Processing. Philadelphia, USA, 2005, Ⅱ: 761-764
[13]
He Xiaofei, Niyogi P. Locality Preserving Projections // Proc of the Conference on Neural Information Processing Systems. Vancouver, Canada, 2003: 153-160
[14]
Tipping M E, Bishop C. Mixtures of Probabilistic Principal Component Analyses. Neural Computation, 1999, 11(2):443-482
[15]
Zhang Junping, Li S Z, Wang Jue. Manifold Learning and Applications in Recognition // Tan Y P, Yap K H, Wang Lipo, eds. Intelligent Multimedia Processing with Soft Computing. Heidelberg, Germany: Springer-Verlag, 2004: 281-300