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Face Detection Method Based on Kernel Independent Component Analysis and Boosting Chain Algorithm

  • Yan Wu
  • Yin-Fang Zhuang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3972)

Abstract

A face detection method based on Kernel Independent Component Analysis and Boosting Chain Algorithm was proposed. Moreover a linear optimization scheme was proposed to address the problems of redundancy in boosting learning and threshold adjusting in cascade coupling. Experiments were done to compare the performance of boosting chain with that of Adaboost and Floatboost and the results show the effectiveness of this new method.

Keywords

False Alarm Independent Component Analysis Face Detection Independent Component Analysis Weak Classifier 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Viola, P.: Rapid Object Detection Using a Boosted Cascade of Simple Features. In: Kasturi, R., Medioni, G. (eds.) Proc. of the IEEE Computer Vision and Pattern Recognition, vol. 1, pp. 511–518. IEEE Computer Society, Los Alamitos (2001)Google Scholar
  2. Viola, P., Jones, M.: Robust Real Time Object Detection. In: Song-Chun, Z., Alan, Y., David, M. (eds.) Intl. Workshop on Statistical and Computational Theories of Vision. Int’l Journal of Computer Science, pp. 747–771 (2001)Google Scholar
  3. Li, S.Z., Zhu, L., Zhang, Z.Q., Zhang, H.J.: Learning to Detect Multi-View Faces in Real-Time. In: James, L.M., Alex, P.P. (eds.) Proceedings of the 2nd International Conference on Development and Learning. IEEE Computer Society, Los Alamitos (2002)Google Scholar
  4. Yow, K.C., Cipolla, R.: Feature-Based Human Face Detection. Image and Vision Computing 15(2), 713–735 (1997)CrossRefGoogle Scholar
  5. Bach, F.R., Jordan, M.I.: Kernel Independent Component Analysis. Journal of Machine Learning Research 3(1), 1–48 (2003)MATHCrossRefMathSciNetGoogle Scholar
  6. Xiao, R., Zhu, L., Zhang, H.J.: Boosting Chain Learning for Object Detection. In: Triggs, A.Z. (ed.) Ninth IEEE International Conference on Computer Vision (ICCV 2003), vol. 1, pp. 709–715. IEEE Computer Society, Los Alamitos (2003)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yan Wu
    • 1
  • Yin-Fang Zhuang
    • 1
  1. 1.Department of Computer Science and EngineeringTongji UniversityShanghai

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