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基于多频域LBP-TOP的人脸表情识别 被引量：2

Facial Expression Recognition Based on Multi-frequency LBP-TOP
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摘要 针对人脸表情时空域特征信息的有效提取问题,提出一种多频域LBP-TOP与最大间隔球形支持向量机相结合的人脸表情识别算法。采用小波分解增强序列各帧的图像信息,对同频率的子图像序列提取分块改进的LBP-TOP特征,采用最大间隔球形支持向量机进行样本的训练及识别。实验结果证明,该方法能有效提取运动的表情特征,识别率高,同时符合实时性要求。 According to the problem of effective extraction of facial expression information in space-time domain,one kind facial recognition method based on multi-frequency Local Binary Patterns from Three Orthogonal Panels（LBP-TOP） features and Maximal-margin Sphericalstructured Support Vector Machine（MSSVM） is proposed.It adapts wavelet decomposition to enhance information of each frame in image sequence.It extracts improved LBP-TOP features of sub-images on the same frequency.MSSVM is applied for sample training and recognition.Experimental result indicates that,this method can extract movement expression feature more effectively,as well as recognition rate is better,and it meets the requirement of real-time.
作者 孔健 詹永照
机构地区 江苏大学计算机科学与通信工程学院
出处 《计算机工程》 CAS CSCD 北大核心 2010年第15期176-178,共3页 Computer Engineering
基金 国家自然科学基金资助项目(60673190)
关键词 模式识别 人脸表情识别 小波分解 二元局部模式 最大间隔球形支持向量机 pattern recognition facial expression recognition wavelet decomposition local binary pattern Maximal-margin Spherical-structured Support Vector Machine（MSSVM）
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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  • 1左坤隆,刘文耀.基于活动外观模型的人脸表情分析与识别[J].光电子．激光,2004,15(7):853-857. 被引量：19
  • 2顾华,苏光大,杜成.人脸关键特征点的自动定位[J].光电子．激光,2004,15(8):975-979. 被引量：16
  • 3Lyons M, Akamatsu S, Kamachi M, et al. Coding facial expressions with Gabor wavelets[A]. Third IEEE ConfFace and Gesture Recognition [C] . 1998,200-205.
  • 4Lyons M J, Budynek J, Akamatsu S. Automatic classification of single facial images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999, 21 ( 12 ) :1357-1362.
  • 5Zhang Z, Lyons M, Schuster M, et al. Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron[A].Third IEEE Conf Face and Gesture Recognition [C]. 1998,454-459.
  • 6Lee T. Image representation using 2-D Gabor wavelets[J]. IEEE Trans Pattern Analysis and Machine Intelligence, 1996,18 (10) : 959-971.
  • 7Paul Viola, Michael Jones. Robust real-time face dete[J].International Journal of Computer Vision, 2004,57 ( 2 ):137-154.
  • 8Piyanuch Silapachote, Deepak Karuppiah, Allen Hanson.Feature selection using adaboost for face expression recognition[A]. The 4 th IASTED International Conference on Visualization, Imaging, and Image Frocessing[C]. 2004,84-89.
  • 9Vapnik V. Statistical Learning Theory[M]. New York:John Wiley & Sons Inc,1998.
  • 10Bourel F,Chibelushi C C, Low A A. Robust facial expression recognition using a state-based model of spatially-localised facial dynamics[A]. Fifth IEEE International Conference on Automatic Face and Gesture Recognition [C] .2002,106-111.

共引文献61

同被引文献15

  • 1Duchenne G B, Cuthbertson R A. The Mechanism of Human Facial Expression[M]. Cambridge, UK: Cambridge University Press, 1990.
  • 2Gray H, Lewis W. Anatomy of the Human Body[EB/OL]. (2010- 11-21 ). http://library.thinkquest.org/19347/frames.htm.
  • 3Breazeal C, Scassellati B. How to Build Robots that Make Friends and Influence People[C]//Proc. of International Conference on Intelligent Robots and System. Piscataway, USA: IEEE Press, 1999.
  • 4Lu Xiaoguang, Jain A K. Deformation Modeling for Robust 3D Face Matching[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(8): 1346-1357.
  • 5Hegel F, Muhl C, Wrede B. Understanding Social Robots[C]//Proc. of the 2rid International Conference on Advances in Com- puter-human Interactions. [S. 1.]: IEEE Press, 2009.
  • 6Guenter B, Grimm C, Wood D. Making Faces[C]//Proc. of ACM SIGGRAPH Conference. Orlando, USA: [s. n.], 1998.
  • 7Chang Ya, Hu Changbo, Turk M. Probabilistic Expression Analy- sis on Manifolds[C]//Proc. of Conference on Computer Vision and Pattern Recognition. Washington D. C., USA: [s. n.], 2004.
  • 8Shan Caifeng, Gong Shaogang, McOwan P W. Appearance Mani- fold of Facial Expression[C]//Proc. of IEEE International Work- shop on Computer Vision in Human-computer Interaction. Beijing, China: [s. n.], 2005.
  • 9Do M N, Vetterli M. The Contourlet Transform Efficient Direc- tional Multiresolution Image Representation[J]. IEEE Trans. on Image Processing, 2005, 14(12): 2091-2106.
  • 10He Xiaofei, Niyogi P. Locality Preserving Projections[C]//Proc. of Conference on Neural Information Processing Systems. Vancouver, Canada: [s. n.], 2003.

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计算机工程
2010年 第15期

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