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Color and Contrast Adaptation Issues in VR Interfaces for Security Training

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Probabilistic Safety Assessment and Management

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Abstract

In this paper we present a method to reproduce color display of virtual worlds based on visual perception principles. The purpose of this technique is to solve two main problems: the tone mapping and the color recovery. Both problems arise when we aim at reproducing virtual worlds where illumination conditions are unknown and create dynamic views having a high dynamic range that has to be compressed into the limited range of a monitor or projector, and undesired color casts produced by different light sources.

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References

  1. Devlin K. et al., Tone Reproduction and Physically Based Spectral Rendering. In State of the Art Reports, Eurographics 2002, pp 101-123.

    Google Scholar 

  2. Land E. and McCann J.J., Lightness and retinex theory, Journal of Optical Society of America, 1971;61:1–11.

    Article  Google Scholar 

  3. Land E., The retinex theory of color vision, Scientific American, 1977; 237:108–128.

    Article  MathSciNet  Google Scholar 

  4. Marini D. and Rizzi A., A computational approach to color adaptation effects, Image and Vision Computing, 2000; 18:1005–1014.

    Article  Google Scholar 

  5. Retinex at 40, Special Issue, Journal of Electronic Imaging, 2004, 13(1).

    Google Scholar 

  6. Saupe D., Algorithms for random fractals, in The Science of Fractal Images, Peitgen H.-O. and Saupe D. editors, Springer-Verlag, 1988.

    Google Scholar 

  7. Yarbus A.L., Eye movements and vision, Plenum Press, New York, 1967

    Book  Google Scholar 

  8. Zangemeister W.H. et al., Evidence for a global scanpath strategy in viewing abstract compared with realistic images, Neuropsychologia, 1995; 33:1009–1025.

    Article  Google Scholar 

  9. Zeki S., A Vision of the Brain, Blackwell Scientific Pub., Cambridge, 1993.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica e Comunicazione, Università degli Studi di Milano, Milano, Italy

    Daniele Marini & Davide Gadia

  2. Dipartimento di Tecnologie dell’Informazione, Università degli Studi di Milano, Crema, Italy

    Alessandro Rizzi & Carlo Gatta

Authors
  1. Daniele Marini
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  2. Davide Gadia
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  3. Alessandro Rizzi
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  4. Carlo Gatta
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Editor information

Editors and Affiliations

  1. TÜV Süddeutschland, Dudenstrasse 28, D-68167, Mannheim, Germany

    Cornelia Spitzer Dipl.-Math.

  2. Swiss Federal Nuclear Safety Inspectorate (HSK), CH-5232, Villigen-HSK, Switzerland

    Ulrich Schmocker PhD

  3. Paul Scherrer Institut (PSI), CH-5232, Villigen PSI, Switzerland

    Vinh N. Dang PhD

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© 2004 Springer-Verlag London

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Marini, D., Gadia, D., Rizzi, A., Gatta, C. (2004). Color and Contrast Adaptation Issues in VR Interfaces for Security Training. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_580

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  • DOI: https://doi.org/10.1007/978-0-85729-410-4_580

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1057-6

  • Online ISBN: 978-0-85729-410-4

  • eBook Packages: Springer Book Archive

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