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A Pose Robust Face Recognition Approach by Combining PCA-ASIFT and SSIM

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Biometric Recognition (CCBR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8833))

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Abstract

Affine Scale Invariant Feature Transform (ASIFT) is robust to scales, rotation, scaling and affine transformation. It could be used for face recognition with pose variation. However, ASIFT requires large data. Could we reduce the data of ASIFT and preserve the face recognition performance? In this paper, we propose an effective face recognition algorithm to combining the structural similarity (SSIM) and PCA-ASIFT (PCA-ASIFT&SSIM).First, we reduce ASIFT dimension using principal component analysis and get PCA-ASIFT. The PCA-ASIFT’s discriminative capability drops because of the dimension reduction. It brings about more false SIFT matching. We further introduce the SSIM to reduce the false matching. The experimental results show the efficiency of the proposed approach.

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Author information

Authors and Affiliations

  1. School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China

    Wei Qi, Yaxi Hou, Lifang Wu & Xiao Xu

Authors
  1. Wei Qi
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  2. Yaxi Hou
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  3. Lifang Wu
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  4. Xiao Xu
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Editor information

Editors and Affiliations

  1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, 100190, Beijing, China

    Zhenan Sun

  2. Institute of Computing Technology, Chinese Academy of Sciences, No.6 Kexueyuan South Road, P.O. Box 2704, 100190, HaiDian, Beijing, China

    Shiguang Shan

  3. School of Information Science and Engineering, Shenyang University of Technology, No.111, Shenliao West Road, Economic and Technological Development Zone, 110870, Shenyang, China

    Haifeng Sang  & Weiqi Yuan  & 

  4. Software Engineering Institute, Tsinghua University, No. 1 Tsinghua Yuan, Haidian District, 100084, Beijing, China

    Jie Zhou

  5. School of Computer Science and Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, 100191, Beijing, China

    Yunhong Wang

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© 2014 Springer International Publishing Switzerland

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Qi, W., Hou, Y., Wu, L., Xu, X. (2014). A Pose Robust Face Recognition Approach by Combining PCA-ASIFT and SSIM. In: Sun, Z., Shan, S., Sang, H., Zhou, J., Wang, Y., Yuan, W. (eds) Biometric Recognition. CCBR 2014. Lecture Notes in Computer Science, vol 8833. Springer, Cham. https://doi.org/10.1007/978-3-319-12484-1_18

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  • DOI: https://doi.org/10.1007/978-3-319-12484-1_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12483-4

  • Online ISBN: 978-3-319-12484-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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