人脸表情识别英文参考资料.docx

1、人脸表情识别英文参考资料二、（国外）英文参考资料1、网上文献2、国际会议文章（英文）C1Afzal S, Sezgin T.M, Yujian Gao, Robinson P. Perception of emotional expressions in different representations using facial feature points. In: Affective Computing and Intelligent Interaction and Workshops, Amsterdam,Holland, 2009 Page(s): 1 - 6C2Yuwen Wu,

2、Hong Liu, Hongbin Zha. Modeling facial expression space for recognition In:Intelligent Robots and Systems,Edmonton,Canada,2005: 1968 1973C3Yu-Li Xue, Xia Mao, Fan Zhang. Beihang University Facial Expression Database and Multiple Facial Expression Recognition. In: Machine Learning and Cybernetics, Da

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4、c framework for embedded face and facial expression recognition. In: Computer Vision and Pattern Recognition, Ft. Collins, CO, USA, 1999:C6 Yeongjae Cheon, Daijin Kim. A Natural Facial Expression Recognition Using Differential-AAM and k-NNS. In: Multimedia（ISM 2008）,Berkeley, California, USA,2008: 2

5、20 - 227C7 Jun Ou, Xiao-Bo Bai, Yun Pei,Liang Ma, Wei Liu. Automatic Facial Expression Recognition Using Gabor Filter and Expression Analysis. In: Computer Modeling and Simulation, Sanya, China, 2010: 215 - 218C8Dae-Jin Kim, Zeungnam Bien, Kwang-Hyun Park. Fuzzy neural networks (FNN)-based approach

6、for personalized facial expression recognition with novel feature selection method. In: Fuzzy Systems, St.Louis,Missouri,USA,2003: 908 - 913C9 Wei-feng Liu, Shu-juan Li, Yan-jiang Wang. Automatic Facial Expression Recognition Based on Local Binary Patterns of Local Areas. In: Information Engineering

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8、. Development of a facial expression recognition system for the laughter therapy. In: Cybernetics and Intelligent Systems (CIS), Singapore ,2010: 168 - 171 C12 Wei Feng Liu, ZengFu Wang. Facial Expression Recognition Based on Fusion of Multiple Gabor Features. In: Pattern Recognition, HongKong, Chin

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10、ch for Facial Expression Recognition. In: Tools with Artificial Intelligence, Arlington, Virginia, USA,2006: 685 - 692C15 Mingwei Huang, Zhen Wang, Zilu Ying. Facial expression recognition using Stochastic Neighbor Embedding and SVMs. In: System Science and Engineering (ICSSE), Macao, China, 2011: 6

11、71 - 674C16 Junhua Li, Li Peng. Feature difference matrix and QNNs for facial expression recognition. In: Control and Decision Conference, Yantai, China, 2008: 3445 - 3449 C17 Yuxiao Hu, Zhihong Zeng, Lijun Yin,Xiaozhou Wei, Jilin Tu, Huang, T.S. A study of non-frontal-view facial expressions recogn

12、ition. In: Pattern Recognition, Tampa, FL, USA,2008: 1 - 4C18 Balasubramani A, Kalaivanan K, Karpagalakshmi R.C, Monikandan R. Automatic facial expression recognition system. In: Computing, Communication and Networking, St. Thomas,USA, 2008: 1 - 5 C19 Hui Zhao, Zhiliang Wang, Jihui Men. Facial Compl

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15、(ICSP), Beijing, China, 2010: 916 - 919 C23 Xianxing Wu; Jieyu Zhao; Curvelet feature extraction for face recognition and facial expression recognition. In: Natural Computation (ICNC), Yantai, China, 2010: 1212 - 1216C24 Xu Q Z, Zhang P Z, Yang L X, et al.A facial expression recognition approach bas

16、ed on novel support vector machine tree. In Proceedings of the 4th International Symposium on Neural Networks, Nanjing, China, 2007: 374-381.C25 Wang Y B, Ai H Z, Wu B, et al. Real time facial expression recognition with adaboost.In: Proceedings of the 17th International Conference on Pattern Recogn

17、ition , Cambridge,UK, 2004: 926-929.C26 Guo G, Dyer C R. Simultaneous feature selection and classifier training via linear programming: a case study for face expression recognition. In: Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Madison, W is

18、consin, USA, 2003,1: 346-352.C27 Bourel F, Chibelushi C C, Low A A. Robust facial expression recognition using a state-based model of spatially-localised facial dynamics. In: Proceedings of the 5th IEEE International Conference on Automatic Face and Gesture Recognition, Washington, DC, USA, 2002: 11

19、3-118C28 Buciu I, Kotsia I, Pitas I. Facial expression analysis under partial occlusion. In: Proceedings of the 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, PA, USA, 2005,V: 453-456.C29 ZHAN Yong-zhao，YE Jing-fu，NIU De-jiao，et alFacial expression reco

20、gnition based on Gabor wavelet transformation and elastic templates matching. Proc of the 3rd International Conference on Image and GraphicsWashington DC, USA，2004:254-257C30 PRASEEDA L V，KUMAR S，VIDYADHARAN D S，et alAnalysis of facial expressions using PCA on half and full faces. Proc of ICALIP2008

21、2008:1379-1383C31 LEE J J，UDDIN M Z，KIM T SSpatiotemporal human facial expression recognition using Fisher independent component analysis and Hidden Markov modelC/Proc of the 30th Annual International Conference of IEEE Engineering in Medicine and Biology Society2008:2546-2549C32 LITTLEWORT G,BARTLE

22、TT M,FASELL. Dynamics of facial expression extracted automatically from video. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Face Processing inVideo, Washington DC,USA,2006:80-81C33 Kotsia I, Nikolaidis N, Pitas I. Facial Expression Recognition in Videos

23、using a Novel Multi-Class Support Vector Machines Variant. In: Acoustics, Speech and Signal Processing, Honolulu, Hawaii, USA, 2007: II-585 - II-588C34 Ruo Du, Qiang Wu, Xiangjian He, Wenjing Jia, Daming Wei. Facial expression recognition using histogram variances faces. In: Applications of Computer

24、 Vision (WACV), Snowbird, Utah, USA, 2009: 1 - 7C35 Kobayashi H, Tange K, Hara F. Real-time recognition of six basic facial expressions. In: Robot and Human Communication, Tokyo , Japan,1995: 179 - 186C36 Hao Tang, Huang T.S. 3D facial expression recognition based on properties of line segments conn

25、ecting facial feature points. In: Automatic Face & Gesture Recognition, Amsterdam, The Netherlands, 2008: 1 - 6C37 Fengjun Chen, Zhiliang Wang, Zhengguang Xu, Donglin Wang. Research on a method of facial expression recognition.in: Electronic Measurement & Instruments, Beijing,China, 2009: 1-225 - 1-

26、229C38 Hui Zhao, Tingting Xue, Linfeng Han. Facial complex expression recognition based on Latent DirichletAllocation. In: Natural Computation (ICNC), Yantai, Shandong, China, 2010: 1958 - 1960C39 Qinzhen Xu, Pinzheng Zhang, Wenjiang Pei, Luxi Yang, Zhenya He. An Automatic Facial Expression Recognit

27、ion Approach Based on Confusion-Crossed Support Vector Machine Tree. In: Acoustics, Speech and Signal Processing, Honolulu, Hawaii, USA, 2007: I-625 - I-628C40 Sung Uk Jung, Do Hyoung Kim, Kwang Ho An, Myung Jin Chung. Efficient rectangle feature extraction for real-time facial expression recognitio

28、n based on AdaBoost.In: Intelligent Robots and Systems, Edmonton,Canada, 2005: 1941 - 1946C41 Patil K.K, Giripunje S.D, Bajaj P.R. Facial Expression Recognition and Head Tracking in Video Using Gabor Filter .In: Emerging Trends in Engineering and Technology (ICETET), Goa, India, 2010: 152 - 157C42 J

29、un Wang, Lijun Yin, Xiaozhou Wei, Yi Sun. 3D Facial Expression Recognition Based on Primitive Surface Feature Distribution.In: Computer Vision and Pattern Recognition, New York, USA,2006: 1399 - 1406C43 Shi Dongcheng, Jiang Jieqing. The method of facial expression recognition based on DWT-PCA/LDA.IN

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31、i. Facial Expression Recognition Based on the Difference of Statistical Features.In: Signal Processing, Guilin, China, 2006C46 Metaxas D. Facial Features Tracking for Gross Head Movement analysis and Expression Recognition.In: Multimedia Signal Processing, Chania,Crete,GREECE, 2007:2C47 Xia Mao, YuL

32、i Xue, Zheng Li, Kang Huang, ShanWei Lv. Robust facial expression recognition based on RPCA and AdaBoost.In: Image Analysis for Multimedia Interactive Services, London, UK, 2009: 113 - 116C48 Kun Lu, Xin Zhang. Facial Expression Recognition from Image Sequences Based on Feature Points and Canonical Correlations.In: Artificial Intelligence and Computational Intelligence (AICI), Sanya,China, 2010: 219 - 223C49 Peng Zhao-yi, Wen Zhi-qiang, Zhou Yu. Application of M