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Face Recognition Technology and Its Real-World Application

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Perception and Machine Intelligence (PerMIn 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7143))

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Abstract

Facial image processing is a promising tool for consumer electronics and social infrastructure systems. In recent years, digital processing of a facial image can easily be performed with the spread of digital image apparatus, such as a digital camera and a mobile phone, by improvement of throughput of a computer. The performance of the face detection that is basic of the facial image processing improves drastically, and the computational cost has also decreased. It is the reason why that has expanded the application to various appliances. This paper introduces our group’s facial image processing algorithm as an example and trends of various applications using facial image processing in consumer electronics field and social infrastructure systems.

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Author information

Authors and Affiliations

  1. Power and Industrial Systems R&D Center, TOSHIBA Corporation Power System Company, Tokyo, Japan

    Osamu Yamaguchi

Authors
  1. Osamu Yamaguchi
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Editor information

Editors and Affiliations

  1. Indian Statistical Institute (ISI), Machine Intelligence Unit, Kolkata, India

    Malay K. Kundu  & Sushmita Mitra  & 

  2. Centre for Development of Advanced Computing (C-DAC), Kolkata, India

    Debasis Mazumdar

  3. Indian Statistical Instituten (ISI), Kolkata, India

    Sankar K. Pal

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© 2012 Springer-Verlag Berlin Heidelberg

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Yamaguchi, O. (2012). Face Recognition Technology and Its Real-World Application. In: Kundu, M.K., Mitra, S., Mazumdar, D., Pal, S.K. (eds) Perception and Machine Intelligence. PerMIn 2012. Lecture Notes in Computer Science, vol 7143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27387-2_4

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  • DOI: https://doi.org/10.1007/978-3-642-27387-2_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27386-5

  • Online ISBN: 978-3-642-27387-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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