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Kernel-Learning-Based Face Recognition for Smart Environment

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Kernel Learning Algorithms for Face Recognition

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Abstract

Multimedia multisensor system is used in various monitoring systems such as bus, home, shopping mall, school, and so on. Accordingly, these systems are implemented in an ambient space. Multiple sensors such as audio and video are used for identification and ensure the safety. The wrist pulse signal detector is used to health analysis. These multisensor multimedia systems are be recording, processing, and analyzing the sensory media streams and providing the high-level information.

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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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Li, JB., Chu, SC., Pan, JS. (2014). Kernel-Learning-Based Face Recognition for Smart Environment. In: Kernel Learning Algorithms for Face Recognition. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0161-2_8

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  • DOI: https://doi.org/10.1007/978-1-4614-0161-2_8

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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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