Illumination Intensity, Object Geometry and Highlights Invariance in Multispectral Imaging

  • Raúl Montoliu
  • Filiberto Pla
  • Arnoud C. Klaren
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3522)


It is well-known that image pixel values of an object could vary if the lighting conditions change. Some common factors that produce changes in the pixels values are due to the viewing and the illumination direction, the surface orientation and the type of surface.

For the last years, different works have addressed that problem, proposing invariant representations to the previous factors for colour images, mainly to shadows and highlights. However, there is a lack of studies about invariant representations for multispectral images, mainly in the case of invariants to highlights.

In this paper, a new invariant representation to illumination intensity, object geometry and highlights for multispectral images is presented. The dichromatic reflection model is used as physical model of the colour formation process. Experiments with real images are also presented to show the performance of our approach.


Invariant Representation Multispectral Image Illumination Intensity Surface Orientation Unit Impulse 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Raúl Montoliu
    • 1
  • Filiberto Pla
    • 2
  • Arnoud C. Klaren
    • 2
  1. 1.Dept. Arquitectura y Ciéncias de los ComputadoresJaume I UniversityCastellónSpain
  2. 2.Dept. Lenguajes y Sistemas InformáticosJaume I UniversityCastellónSpain

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