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Gram-Schmidt Orthonormalization-Based Color Model for Object Detection

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Information Processing and Security Systems

Abstract

The paper presents two methods of creating custom color models used in object detection in digital images. Developed methods are based on Gram-Schmidt orthonormalization procedure and can be applied in different fields of recognition (human faces, remotely sensed images, etc.). Their main advantage over other ones is the efficient description and representation of color variations.

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4 References

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Author information

Authors and Affiliations

  1. Technical University of Szczecin, 71-210, Szczecin, Żońnierska Str 49

    Mariusz Borawski & Paweł Forczmański

Authors
  1. Mariusz Borawski
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  2. Paweł Forczmański
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Editor information

Editors and Affiliations

  1. Białystock Technical University, Poland

    Khalid Saeed

  2. Technical University of Szczecin, Poland

    Jerzy Pejaś

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© 2005 Springer Science+Business Media, Inc.

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Borawski, M., Forczmański, P. (2005). Gram-Schmidt Orthonormalization-Based Color Model for Object Detection. In: Saeed, K., Pejaś, J. (eds) Information Processing and Security Systems. Springer, Boston, MA. https://doi.org/10.1007/0-387-26325-X_9

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  • DOI: https://doi.org/10.1007/0-387-26325-X_9

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-25091-5

  • Online ISBN: 978-0-387-26325-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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