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Face Recognition in Color Using Complex and Hypercomplex Representations

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Pattern Recognition and Image Analysis (IbPRIA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4477))

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Abstract

Color has plenty of discriminative information that can be used to improve the performance of face recognition algorithms, although it is difficult to use it because of its high variability. In this paper we investigate the use of the quaternion representation of a color image for face recognition. We also propose a new representation for color images based on complex numbers. These two color representation methods are compared with the traditional grayscale and RGB representations using an eigenfaces based algorithm for identity verification. The experimental results show that the proposed method gives a very significant improvement when compared to using only the illuminance information.

Work supported by the Spanish Project DPI2004-08279-C02-02 and the Generalitat Valenciana - Consellería d’Empresa, Universitat i Ciència under an FPI scholarship.

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Authors and Affiliations

  1. Instituto Tecnológico de Informática, Universidad Politécnica de Valencia, Camino de Vera s/n, Edif. 8G Acc. B 46022 Valencia (Spain),  

    Mauricio Villegas & Roberto Paredes

Authors
  1. Mauricio Villegas
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  2. Roberto Paredes
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Joan Martí José Miguel Benedí Ana Maria Mendonça Joan Serrat

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Villegas, M., Paredes, R. (2007). Face Recognition in Color Using Complex and Hypercomplex Representations . In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4477. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72847-4_29

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  • DOI: https://doi.org/10.1007/978-3-540-72847-4_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72846-7

  • Online ISBN: 978-3-540-72847-4

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