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Finding Human Faces in a Face Database

  • Chapter
Multimedia Information Retrieval and Management

Part of the book series: Signals and Communication Technology ((SCT))

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Abstract

In this chapter, we introduce the technologies used in human face recognition. The different parts of a human face recognition system will be described, namely, locating human faces, extracting facial features, face recognition, and searching for faces from a database. Eigenface is a useful technique for face representation and recognition, which is reviewed in Section 19.2. The algorithms and techniques for detecting human faces in a complex background are described in Section 19.3. After detecting a human face, the techniques for extracting the respective facial features are presented in Section 19.4. Section 19.5 describes a method for human face recognition, which is efficient at searching a large face database.

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Author information

Authors and Affiliations

  1. Kenneth, USA

    Dr. Kin-Man Lam

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  1. Dr. Kin-Man Lam
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Editor information

Editors and Affiliations

  1. Centre for Multimedia Signal Processing, The Hong Kong Polytechnic University, China

    David Dagan Feng PhD  & Wan-Chi Siu PhD  & 

  2. School of Information Technologies, The University of Sydney, Australia

    David Dagan Feng PhD

  3. Microsoft Research, Asia, China

    Hong-Jiang Zhang PhD

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© 2003 Springer-Verlag Berlin Heidelberg

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Lam, KM. (2003). Finding Human Faces in a Face Database. In: Feng, D.D., Siu, WC., Zhang, HJ. (eds) Multimedia Information Retrieval and Management. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05300-3_19

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  • DOI: https://doi.org/10.1007/978-3-662-05300-3_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05533-1

  • Online ISBN: 978-3-662-05300-3

  • eBook Packages: Springer Book Archive

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