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Recent Advances on Cross-Domain Face Recognition

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Biometric Recognition (CCBR 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9967))

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Abstract

Face recognition is a significant and pervasively applied computer vision task. With the specific application scenarios being explored gradually, general face recognition methods dealing with visible light images are unqualified. Cross-domain face recognition refers to a series of methods in response to face recognition problems whose inputs may come from multiple modalities, such as visible light images, sketch, near infrared images, 3D data, low-resolution images, thermal infrared images, or cross different ages, expressions, and ethnicities. Compared with general face recognition, cross-domain face recognition has not been widely explored and only few literatures systematically discuss this topic. Face recognition aiming at matching face images from photographs and other image modalities, which is usually called heterogeneous face recognition, has larger cross-domain gap and is a harder problem in this topic. This paper mainly investigates heterogeneous face databases, provides an up-to-date review of research efforts, and addresses common problems and related issues in cross-domain face recognition techniques.

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Acknowledgments

This work is supported by the Youth Innovation Promotion Association of the Chinese Academy of Sciences (CAS) (Grant No. 2015190), the National Natural Science Foundation of China (Grant No. 61473289) and the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDB02070000).

Author information

Authors and Affiliations

  1. School of Automation, Harbin University of Science and Technology, Harbin, 150080, China

    Xiaoxiang Liu & Xiaobo Sun

  2. Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China

    Xiaoxiang Liu, Ran He & Tieniu Tan

  3. CAS Center for Excellent in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, 100190, China

    Xiaoxiang Liu, Ran He & Tieniu Tan

  4. University of Chinese Academy of Sciences, Beijing, 100049, China

    Ran He & Tieniu Tan

Authors
  1. Xiaoxiang Liu
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  2. Xiaobo Sun
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  3. Ran He
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  4. Tieniu Tan
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Corresponding author

Correspondence to Xiaoxiang Liu .

Editor information

Editors and Affiliations

  1. Sichuan University , Chengdu, China

    Zhisheng You

  2. Tsinghua University , Beijing, China

    Jie Zhou

  3. Beihang University , Beijing, China

    Yunhong Wang

  4. Chinese Academy of Sciences , Beijing, China

    Zhenan Sun

  5. Chinese Academy of Sciences , Beijing, China

    Shiguang Shan

  6. Sun Yat-sen University , Guangzhou, China

    Weishi Zheng

  7. Tsinghua University , Beijing, China

    Jianjiang Feng

  8. Sichuan University , Chengdu, China

    Qijun Zhao

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© 2016 Springer International Publishing AG

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Liu, X., Sun, X., He, R., Tan, T. (2016). Recent Advances on Cross-Domain Face Recognition. In: You, Z., et al. Biometric Recognition. CCBR 2016. Lecture Notes in Computer Science(), vol 9967. Springer, Cham. https://doi.org/10.1007/978-3-319-46654-5_17

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  • DOI: https://doi.org/10.1007/978-3-319-46654-5_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46653-8

  • Online ISBN: 978-3-319-46654-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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