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人机交互中的人脸信息曲波分析

DOI: 10.11834/jig.20100920

Keywords: 曲波变换,人脸检测,人脸识别,表情分析,人机交互

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Abstract:

视觉交互是自然人机交互的重要组成部分,而人脸特征提取则是视觉交互成功的关键。针对小波变换难以充分描述人脸曲线特征的缺点,为了更好地提取人脸特征,将更符合人类视觉特性的曲波变换用于人脸信息处理,提出了结合曲波变换与Adaboost方法的人脸检测优化方法和基于曲波变换与SVM进行表情分析的新方法,并开展了人脸检测、人脸识别与表情分析的对比实验。实验结果显示,曲波变换在人脸特征提取中具有明显优势,从而为自然人机交互的下一步工作打下了坚实基础。

References

[1]  张有为,人机自然交互,北京:国防工业出版社,2004.
[2]  Turk M,Pentland A,Eigenfaces for recognition,Journal of Cognitive Neuroscience,1991(1).
[3]  Comon P,Independent component analysis,a new concept,Signal Processing,1994(3).
[4]  Hafed Z M,Levine M D,Face recognition using the discrete cosine transform,International Journal of Computer Vision Special issue:Research at McGill University,2001(3).
[5]  Hong Z Q,Algebraic feature extraction of image for recognition,Pattern Recognition,1991(3).
[6]  Candès E J,Donoho D L,Curvelets-a surprisingly effective nonadaptive representation for objects with edges,Nashville,TN,USA:Vanderbilt University Press,2000.
[7]  Candès E J,Donoho D L,Continuous curvelet transform:I.resolution of the wavefront set,Applied and Computational Harmonic Analysis,2005(2).
[8]  Candès E J,Demanet L,Donoho D L,Fast discrete curvelet transforms,Multiscale Modeling and Simulation,2006(3).
[9]  Aroussi M El,Ghouzali S,Hassouni M El,Curvelet-based feature extraction with B-LDA for face recognition,DC,USA:IEEE Computer Society,2009.
[10]  Majumdar A,Chaudhuri B B,Curvelet-based multi SVM recognizer for offline handwritten Bangla:a major Indian script,Washington,DC,USA:IEEE Computer Society,2007.
[11]  更多...
[12]  Feng G C,Yuen P C,Dai D Q,Human face recognition using PCA on wavelet subband,Journal of Electronic Imaging,2000(2).
[13]  Liu Weifeng,Wang Zengfu,Facial expression recognition based on fusion of multiple gabor features,Washington,DC,USA:IEEE Computer Society,2006.
[14]  Pardas M,Losada M,Facial parameter extraction system based on active contours,Washington,DC,USA:IEEE Computer Society,2001.
[15]  Chellappa R,Eremad K,Discriminant analysis for recognition of human face images,Journal of the Optical Society of America,1997(14).
[16]  Zhao W,Chellappa R,Phillips P J,Face recognition:A literature survey,ACM Computing Surveys,2003(4).
[17]  Mandal T,Majumdar A,Wu Q M J,Face recognition by curvelet based feature extraction,Berlin:Springer-Verlag,2007.
[18]  Majumdar A,Bhattacharya A,A comparative study in wavelets,curvelets and contourlets as feature sets for pattern recognition,The International Arab Journal of Information Technology,2009(1).
[19]  Candès E J,Donoho D L,New tight frames of curvelets and optimal representations of objects with piecewise-c2 singularities,Communications on Pure and Applied Mathematics,2004(2).
[20]  Candès E J,Donoho D L,Continuous curvelet transform II.discretization and frames,Applied and Computational Harmonic Analysis,2005(2).
[21]  Mandal T,Wu Q M J,Yuan Yuan,Curvelet based face recognition via dimension reduction,Signal Processing,2009(12).
[22]  Zhang Zhong,Wang Guanghui,Lin Xiang,Face recognition based on wavelet-curvelet-fractal technique,Berlin:Springer-Verlag,2009.
[23]  Viola P,Jones M,Rapid object detection using a boosted cascade of simple features,Washington,DC,USA:IEEE Computer Society,2001.
[24]  邓洪波,金连文,-种基于局部Gabor滤波器组及PCA+LDA的人脸表情识别方法,中国图象图形学报,2007(2).

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