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Streamed Photon Mapping

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper, we present a new solution for Global Illumination – an extended photon mapping algorithm. Our technique replaces samples technique in traditional photon mapping as well as the manner of photon map construction. Our approach avoids emitting unneeded photons and decreased computation time. The proposed approach allows one to reduce the number of comparisons when searching for neighbouring photons in order to calculate the final colour of the pixel.
Rocznik
Tom
Strony
67--74
Opis fizyczny
Bibliogr. 13 poz., rys., tab.
Twórcy
autor
  • Institute of Information Technology, Technical University of Łódź
Bibliografia
  • [1] Jensen H. W. Global Illumination using Photon Maps. Springer-Verlag, 1996. 21-30
  • [2] Kajiya J. T. The Rendering Equation. Computer Graphics 20, 1986: 143-149.
  • [3] Keller A., Wald I. Efficient Importance Sampling Techniques for the Photon Map. Proceedings of Vision Modelling and Visualisation 2000. Saarbruecken Germany, 2000. 271-279.
  • [4] Hey H., Purgathofer W. Advanced radiance estimation for photon map global illumination. Computer Graphics Forum 21(3), 2002: 541-546.
  • [5] Wenping Wang, Kam Wah Wong. Adaptive density estimation using an orthogonal series for global illumination. Computers & Graphics 29(5), October 2005: 738-755.
  • [6] Tobler S. R.F., Maierhofer, Improved illumination estimation for photon maps in architectural scenes. Proc. of WSCG 2006. 2006. 257-262.
  • [7] Herzog R., Seidel H. P., Havran V. Fast final gathering via reverse photon mapping. Computer Graphics Forum (Proceedings of Eurographics 2005) 24 (3). 2005.
  • [8] Jensen H. W., Hachisuka T. Stochastic Progressive Photon Mapping. ACM Transactions on Graphics (SIGGRAPH Asia 2009). 2009.
  • [9] Ogaki S., Jensen H., Hachisuka T. Progressive photon mapping. ACM Transactions on Graphics. 2008. 130.
  • [10] Ureńa C., Revelles J., Lastra M., Montes R., García R. J. A particle-path based method for Monte Carlo density estimation. Proc. Of the 13th Eurographics Workshop on Rendering. 2002. 33–40.
  • [11] Tsai T.C., Chen Y.S., Chen L.H. Grouped photon mapping. Vis Comput (2010) 26. Springer-Verlag, 2010. 217–226.
  • [12] Glassner A. S. Principles of digital image sythesis. Morgan Kaufmann, 1995.
  • [13] Bentley J. L. Multidimensional binary search trees used for associative searching. Communications of the ACM, volume 18, number 9, pages 509–517. ACM, 1975
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPS3-0022-0081
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