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Facial Attribute Analysis

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Handbook of Face Recognition

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Abstract

Facial attributes indicate the intuitive semantic descriptions of a human face like gender, race, expression, and so on. In the past few years, automated facial attribute analysis has become an active field in the area of biometric recognition due to its wide range of possible applications, such as face verification [5, 59], face identification [63, 80], or surveillance [110], just to mention a few.

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Notes

  1. 1.

    https://www.kaggle.com/c/deepfake-detection-challenge.

  2. 2.

    https://gta2021.unisa.it/#instructions.

  3. 3.

    https://tianchi.aliyun.com/competition/entrance/531954/introduction.

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Authors and Affiliations

  1. Institute of Automation, Chinese Academy of Sciences, Bei**g, China

    Jun Wan & Ajian Liu

  2. Baidu Research, Bei**g, China

    Zichang Tan

Authors
  1. Jun Wan
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  2. Zichang Tan
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  3. Ajian Liu
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Correspondence to Jun Wan .

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Editors and Affiliations

  1. Westlake University, Hangzhou, China

    Stan Z. Li

  2. Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA

    Anil K. Jain

  3. Department of Computing, Imperial College London, London, UK

    Jiankang Deng

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Wan, J., Tan, Z., Liu, A. (2024). Facial Attribute Analysis. In: Li, S.Z., Jain, A.K., Deng, J. (eds) Handbook of Face Recognition. Springer, Cham. https://doi.org/10.1007/978-3-031-43567-6_6

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  • DOI: https://doi.org/10.1007/978-3-031-43567-6_6

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