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Virtual Samples Construction Using Image-Block-Stretching for Face Recognition

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Databases Theory and Applications (ADC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9877))

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Abstract

Face recognition encounters the problem that multiple samples of the same object may be very different owing to the deformation of appearances. To synthesizing reasonable virtual samples is a good way to solve it. In this paper, we introduce the idea of image-block-stretching to generate virtual images for deformable faces. It allows the neighbored image blocks to be stretching randomly to reflect possible variations of the appearance of faces. We demonstrate that virtual images obtained using image-block-stretching and original images are complementary in representing faces. Extensive classification experiments on face databases show that the proposed virtual image scheme is very competent and can be combined with a number of classifiers, such as the sparse representation classification, to achieve surprising accuracy improvement.

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Acknowledgments

This work is supported in part by the PAPD of Jiangsu Higher Education Institutions, Natural Science Foundation of China (No. 61572258, No. 61103141 and No. 51505234), and the Natural Science Foundation of Jiangsu Province (No. BK20151530).

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Authors and Affiliations

  1. Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing, 210024, China

    Yingnan Zhao & Beijing Chen

  2. School of Computer & Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Yingnan Zhao & Beijing Chen

  3. School of Computing and Communications, University of Technology Sydney, Sydney, Australia

    Yingnan Zhao & Xiangjian He

Authors
  1. Yingnan Zhao
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  2. Xiangjian He
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  3. Beijing Chen
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Corresponding author

Correspondence to Yingnan Zhao .

Editor information

Editors and Affiliations

  1. Monash University , Clayton, Australia

    Muhammad Aamir Cheema

  2. School of Comp. Science a. Engineer, University of New South Wales School of Comp. Science a. Engineer, Sydney, Australia

    Wenjie Zhang

  3. University of New South Wales , Sydney, New South Wales, Australia

    Lijun Chang

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Zhao, Y., He, X., Chen, B. (2016). Virtual Samples Construction Using Image-Block-Stretching for Face Recognition. In: Cheema, M., Zhang, W., Chang, L. (eds) Databases Theory and Applications. ADC 2016. Lecture Notes in Computer Science(), vol 9877. Springer, Cham. https://doi.org/10.1007/978-3-319-46922-5_27

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  • DOI: https://doi.org/10.1007/978-3-319-46922-5_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46921-8

  • Online ISBN: 978-3-319-46922-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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