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Pacific Rim Conference on Multimedia

PCM 2017: Advances in Multimedia Information Processing – PCM 2017 pp 215–224Cite as

A Fast and General Method for Partial Face Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10735))

Abstract

Recently, holistic face recognition technology has been increasingly mature. However, as for many unconstrained environments, the captured face image is more likely not holistic, but partial discriminative face area. To address this, we propose a fast and general method for partial face recognition. There, our method needn’t alignment by fiducial points or cropping to the same size, for all facial images in the gallery set and probe set. In other words, we use the initial captured faces as input. Besides, our method can deal with single sample face recognition problem. For a pair of gallery image and probe image, firstly we detect key-points as well as extracting their local descriptors. Specially, in order to improve robustness of descriptors, we exploit gradient orientation modification and L2 normalization. Then, we use sparse representation based on multi-descriptors to recognize probe image. Experimental results on public face datasets demonstrate the effectiveness of the proposed method.

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Acknowledgements

This work was partially supported by the 973 Program (Project No. 2014CB347600), the National Natural Science Foundation of China (Grant No. 61672304 and 61672285) and the Natural Science Foundation of Jiangsu Province (Grant BK20140058 and BK20170033).

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Authors and Affiliations

  1. Nanjing University of Science and Technology, Nanjing, China

    Qianhao Wu & Zechao Li

Authors
  1. Qianhao Wu
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  2. Zechao Li
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Corresponding author

Correspondence to Zechao Li .

Editor information

Editors and Affiliations

  1. University of Electronic Science and Technology of China, Chengdu, China

    Bing Zeng

  2. University of Chinese Academy of Sciences, Beijing, China

    Qingming Huang

  3. University of Ottawa, Ottawa, Ontario, Canada

    Abdulmotaleb El Saddik

  4. University of Electronic Science and Technology of China, Chengdu, China

    Hongliang Li

  5. Chinese Academy of Sciences, Beijing, China

    Shuqiang Jiang

  6. Harbin Institute of Technology, Harbin, China

    Xiaopeng Fan

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Wu, Q., Li, Z. (2018). A Fast and General Method for Partial Face Recognition. In: Zeng, B., Huang, Q., El Saddik, A., Li, H., Jiang, S., Fan, X. (eds) Advances in Multimedia Information Processing – PCM 2017. PCM 2017. Lecture Notes in Computer Science(), vol 10735. Springer, Cham. https://doi.org/10.1007/978-3-319-77380-3_21

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  • DOI: https://doi.org/10.1007/978-3-319-77380-3_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77379-7

  • Online ISBN: 978-3-319-77380-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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