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Face Recognition Technology and Its Real-World Application

  • Conference paper

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

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.

Keywords

  • Face Recognition
  • Local Binary Pattern
  • Face Detection
  • Gesture Recognition
  • Independent Component Analysis

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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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

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