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Recent Advances in Subspace Analysis for Face Recognition

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Advances in Biometric Person Authentication (SINOBIOMETRICS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3338))

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Abstract

Given the unprecedented demand on face recognition technology, it is not surprising to see an overwhelming amount of research publications on this topic in recent years. In this paper we conduct a survey on subspace analysis, which is one of the fastest growing areas in face recognition research. We first categorize the existing techniques in subspace analysis into four categories, and present descriptions of recent representative methods within each category. Then we discuss three main directions in recent research and point out some challenging issues that remain to be solved.

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Author information

Authors and Affiliations

  1. Microsoft Research Asia, Beijing

    Qiong Yang

  2. Department of Information Engineering, Chinese University of Hong Kong, Shatin, Hong Kong

    Xiaoou Tang

Authors
  1. Qiong Yang
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  2. Xiaoou Tang
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Editor information

Editors and Affiliations

  1. Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences,  

    Stan Z. Li

  2. Department of Electronics & Communication Engineering, Sun Yat-Sen University, Guangzhou, China

    Jianhuang Lai

  3. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  4. Center of Computer Vision, School of Mathematics and Computing Science, Sun Yat-sen University, 510275, Guangzhou, China

    Guocan Feng

  5. School of Computer Science and Engineering, Beihang University, Beijing, China

    Yunhong Wang

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© 2004 Springer-Verlag Berlin Heidelberg

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Yang, Q., Tang, X. (2004). Recent Advances in Subspace Analysis for Face Recognition. In: Li, S.Z., Lai, J., Tan, T., Feng, G., Wang, Y. (eds) Advances in Biometric Person Authentication. SINOBIOMETRICS 2004. Lecture Notes in Computer Science, vol 3338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30548-4_32

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  • DOI: https://doi.org/10.1007/978-3-540-30548-4_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24029-7

  • Online ISBN: 978-3-540-30548-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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