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Kernel Construction for Face Recognition

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Kernel Learning Algorithms for Face Recognition

Abstract

Face recognition and its relative research have become the very active research topics in recent years due to its wide applications. An excellent face recognition algorithm should sufficiently consider the following two issues: what features are used to represent a face image and how to classify a new face image based on this representation. So the facial feature extraction plays an important role in face recognition.

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Authors and Affiliations

  1. Department of Automatic Test and Control, Harbin Institute of Technology, Yi-Kuang Street 2, Harbin, People’s Republic of China

    Jun-Bao Li

  2. School of Information and Engineering, Flinders University of South Australia, Sturt Road, Bedford Park, SA, 5042, Australia

    Shu-Chuan Chu

  3. HIT Shenzhen Graduate School, Harbin Institute of Technology, Room 424, Building D, Shenzhen Graduate School of Harbin Institute of Technology, Xili University Town, Nanshan, Shenzhen, Guangdong Province, People’s Republic of China

    Jeng-Shyang Pan

Authors
  1. Jun-Bao Li
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  2. Shu-Chuan Chu
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  3. Jeng-Shyang Pan
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Correspondence to Jun-Bao Li .

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© 2014 Springer Science+Business Media New York

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Li, JB., Chu, SC., Pan, JS. (2014). Kernel Construction for Face Recognition. In: Kernel Learning Algorithms for Face Recognition. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0161-2_10

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  • DOI: https://doi.org/10.1007/978-1-4614-0161-2_10

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-0160-5

  • Online ISBN: 978-1-4614-0161-2

  • eBook Packages: EngineeringEngineering (R0)

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