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人脸性别识别综述 被引量:1

Summary of Face Gender Recognition
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摘要 该文是对现有的人脸性别识别方法的综述。文中分别介绍了主要的特征提取算法和分类方法,还对一些典型的性别分类方法进行了比较和评价,并在此基础上对人脸性别识别的研究进行了总结和展望。 This paper is the summary of the methods of face gender recognition. In this paper, Main feature extraction algorithms and classification methods are introduced seEarately, also compared and evaluated some typical gender classification methods, and on this basis, make a summary and outlook to face gender recognition.
作者 李昆仑 张炘 LI Kun-lun, ZHANG Xin (Science and Technology College of Nanchang University, Nanchang 330029, China)
出处 《电脑知识与技术》 2011年第4期2350-2352,2355,共4页 Computer Knowledge and Technology
基金 江西省科技支撑指导性计划项目(2009ZDG07500)
关键词 人脸性别识别 特征提取 性别分类 face gender recogni6on feature extraction gender classification
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参考文献20

  • 1Golomb B A,Lawrence D T,Sejnowski T J.A neural network identifies Sex from human Sex from human faces[J].Advances in Neural Information Processing Systems,1991:572-577.
  • 2Alessandro Cellerino,Davide Borghetti,Ferdinando Sartucci.Sex differences in face gender recognition in humans.Brain Research Bulletin,2004,443-449.
  • 3武勃,艾海舟,肖习攀,徐光祐.人脸的性别分类[J].计算机研究与发展,2003,40(11):1546-1553. 被引量:16
  • 4Arnulf B,Graf A,Felix A.Wichmann.Gender Classification of Haman Faces[J].Biologically Motivated Computer Vision,2002:491-501.
  • 5Karhunen A,Joutsensalo J.A class of neural networks for independent component Analysis[J].Neural Networks,1997,8(3):486-504.
  • 6刘江华,陈佳品,程君实.基于Gabor小波特征抽取和支持向量机的人脸识别[J].计算机工程与应用,2003,39(8):81-83. 被引量:17
  • 7ojala T,Pietikainen M.Multiresolution gray-scale and rotation invariant texture classification with local binary Patterns[J].Pattern Anal-ysis and Machine Intelligence,2002,24(7):971-987.
  • 8Brunelli R,Poggio T.HyberBF networks for gender classification[J].DARPA Image Understanding Workshop,1995:311-314.
  • 9Valentin D,Abdi H.Principal Component and Neural Network Analyses of Face Images:What can be Generalized in Gender Classification[J].Journal of Mathematical Psychology,1996:398-413.
  • 10Tamura S,Kawai H.Male/female identification from 8to6 very low resolution face images by neural network[J].Pattern Recognition,1996,29(2):331-335.

二级参考文献36

  • 1[1]Michael J Lyons et al. Automatic Classification of Single Facial Images[J].IEEE Trans PAMI, 1999; 21 ( 12 ): 1357~1362
  • 2[2]Lee T S.Image representation using 2D gabor wavelets[J].IEEE TransOn PAMI, 1996; 18(10) :959~971
  • 3[3]Vladimir N Vapnik.The Nature of Statistical Learning Theory[M].Springer, 1995
  • 4[4]E Osuna,R Freund,F Girosi.Training support vector machines:Anapplication to face detection[C].In:Proceedings of CVPR'97,PuertoRico, 1997
  • 5[5]J Platt. Fast training of support vector machines using sequentialminimal optimization[C].In:B Scholkopf,C J C Burges,A J Smola eds.Advances in Kernel Methods---Support Vector Learning,Cambridge,MA,MIT Press, 1999:185~208
  • 6[6]S S Keerthi,S K Shevade,C Bhattacharyya et al.A Fast IterativeNearest Point Algorithm for Support Vector Machine Classifier Design[R].Technical Report TR-ISL-99-03 Intelligent Systems Lab Dept ofComputer Science and Automation Indian Institute of Science Bangalore, India, 1999
  • 7[7]LibSVM.http://www.csie.ntu.edu.tw/~cjlin/libsvm/
  • 8[8]AT&T Laboratories Cambridge.The Database of Faces.http://www.uk.research.att.com/facedatabase.html
  • 9[9]T Joachims. 11 in: Making large-Scale SVM Learning Practical[C].In:B Scholkopf,C Burges,A Smola ed.Advances in Kernel MethodsSupport Vector Learning,MIT Press,1999
  • 10[10]F Samaria,S Young. HMM based architecture for face identification[J].Imagn and Computer Vision,1994; 12:537~543

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