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Simulation of natural daylight illumination determined by a high dynamic range image

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Abstract

The use of high dynamic range images as a source of the natural daylight illumination and a background for virtual scenes containing objects with complex optic properties (fabrics, automobile multilayer paints, etc.) is considered. Physically justified algorithms for calculating the luminance of a point, recognition of the sun, generation of shadows, and background specification are considered. An analysis of the correctness of the available high dynamic range images is performed, and their drawbacks are discussed. Modifications of the algorithms are developed that correct these drawbacks in the case of simulating the illumination based on the sky models adopted by the International Commission on Illumination (CIE). The modified illumination simulation algorithms make it possible to produce more accurate images; moreover, they are automatic, and robust with respect to errors in high dynamic range images. These algorithms are used in several computer graphics systems for generating realistic images. A version of this paper with color figures can be found at http://www.keldysh.ru/pages/cgraph/publications/cgd_publ.htm.

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References

  1. Ward, G., Real Pixels, Graphics Gems II, Arvo, J. (Ed.), 1991, pp, 80–83.

  2. Dicarlo, J., and Wandell, Rendering High Dynamic Range Images, Proc. of the SPIE: Image Sensors 3965, 2000, pp. 392–401.

  3. Aggarwal, M. and Ahuja, N., High Dynamic Range Panoramic Imaging, Proc. IEEE ICCV, 2001, vol. 1, pp. 2–9.

    Google Scholar 

  4. Schechner, Y. Y. and Nayar, S. K., Generalized Mosaicing, Proc. IEEE ICCV, 2001, vol. 1, 17–24.

    Google Scholar 

  5. Debevec, P., Image-Based Lighting: Tutorial SIGGRAPH, 2002, pp. 26–34.

  6. Debevec, P. E. and Malik, J., Recovering High Dynamic Range Radiance Maps from Photographs, Annual Conference Series: ACM SIGGRAPH (Proc. of the SIGGRAPH 97 Conf., 1997), Whitted, T., Ed., Addison-Wesley, 1997, pp. 369–378.

  7. Hyperfocal Design Community, http://www.hyperfocaldesign.com.

  8. Greene, N., Environment Mapping and Other Applications of World Projections, IEEE Comput. Graphics, Appl., 1986, vol. 6, no. 11, pp. 21–29.

    Article  Google Scholar 

  9. HDR shop, http://www.hdsop.com.

  10. Spheron VR AG, http://www.spheron.com.

  11. Dosch Design GmbH, http://www.doschdesign.com.

  12. LightWave 3D, http://www.newtek.com/lightwave/, http://www.hyperfocaldesign.com/tutorials/hdri-light-wave-tutorial.html.

  13. Horn, B. K. P., Robot Vision, Cambridge: MIT Press, 1986. Translated under the title Zrenie robotov, Moscow: Mir, 1989.

    Google Scholar 

  14. Voloboi, A. G., Galaktionov, V. A., Dmitriev, K. A., and Kopylov, E. A., Bidirectional Ray Tracing for the Integration of Illumination by the Quasi-Monte Carlo Method, Programmirovanie, 2004, no. 5, pp. 25–34.

  15. Barladian, B. Kh., Voloboi, A. G., Galaktionov, V. A., and Kopylov, E. A., An Effective Tone Mapping Operator for High Dynamic Range Images, Programmirovanie, 2004, no. 5, pp. 35–42.

  16. Rea, M. S., IESNA Lighting Handbook. Reference & Application, New York, 1993, 8th ed.

  17. Ignatenko, A., Barladian, B., Dmitriev, K., Ershov, S., Galaktionov, V., Valiev, I., and Voloboy, A. A Real-Time 3D Rendering System with BRDF Materials and Natural Lighting, in Proc. 14th Int. Conf. on Computer Graphics and Vision, GraphiCon-2004, Moscow, 2004, pp. 159–162.

  18. Barladian, B. Kh., Voloboi, A. G., V’yukova, N. I., Galaktionov, V. A., and Deryabin, N. B., Illumination Modeling and Generation of Realistic Images Using Internet Technologies, Programmirovanie, 2005, no. 5, pp. 66–80.

  19. Voloboi, A. G. and Galaktionov, V. A., Computer Graphics in Automated Design, Inf. Techn. Design Manufacturing, 2006, No. 1, pp. 64–73.

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Authors and Affiliations

  1. Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, Miusskaya pl. 4, Moscow, 125047, Russia

    A. G. Voloboi, V. A. Galaktionov, E. A. Kopylov & L. Z. Shapiro

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  1. A. G. Voloboi
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  2. V. A. Galaktionov
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  3. E. A. Kopylov
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  4. L. Z. Shapiro
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Additional information

Original Russian Text © A.G. Voloboi, V.A. Galaktionov, E.A. Kopylov, L.Z. Shapiro, 2006, published in Programmirovanie, 2006, Vol. 32, No. 5.

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Voloboi, A.G., Galaktionov, V.A., Kopylov, E.A. et al. Simulation of natural daylight illumination determined by a high dynamic range image. Program Comput Soft 32, 284–297 (2006). https://doi.org/10.1134/S0361768806050057

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  • DOI: https://doi.org/10.1134/S0361768806050057

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