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

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Book cover Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3972))

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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.

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References

  • 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 

  • 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 

  • 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 

  • Yow, K.C., Cipolla, R.: Feature-Based Human Face Detection. Image and Vision Computing 15(2), 713–735 (1997)

    Article  Google Scholar 

  • Bach, F.R., Jordan, M.I.: Kernel Independent Component Analysis. Journal of Machine Learning Research 3(1), 1–48 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  • 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)

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Tongji University, Shanghai, 200092

    Yan Wu & Yin-Fang Zhuang

Authors
  1. Yan Wu
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  2. Yin-Fang Zhuang
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd., 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Wu, Y., Zhuang, YF. (2006). Face Detection Method Based on Kernel Independent Component Analysis and Boosting Chain Algorithm. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760023_19

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  • DOI: https://doi.org/10.1007/11760023_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34437-7

  • Online ISBN: 978-3-540-34438-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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