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Efficient rendering of caustics with streamed photon mapping

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper, we present the streamed photon mapping method for enhancing the rendering of caustics. In order to achieve a realistic caustic effect, global illumination methods require additional data, which are gathered by creating a caustic map or increasing the number of samples used for rendering. Our method employs a stream of photons with a varying luminance level depending on the material properties of the surface. The application of a concentrated photon stream provides the ability to render caustics effectively without increasing the number of photons in a photon map. Such an approach increases visibility of results, while also allowing for faster computations.
Rocznik
Strony
361--368
Opis fizyczny
Bibliogr. 24 poz., rys., wykr., tab.
Twórcy
autor
  • Institute of Information Technology, Lodz University of Technology, 215 Wolczanska St., 90-924 Lodz, Poland
  • Institute of Information Technology, Lodz University of Technology, 215 Wolczanska St., 90-924 Lodz, Poland
Bibliografia
  • [1] M. Pharr and G. Humphreys, Physically Based Rendering: From Theory to Implementation, 2nd ed., Morgan Kaufmann, San Francisco, 2010.
  • [2] P.S. Heckbert, “Adaptive radiosity textures for bidirectional ray tracing”, ACM SIGGRAPH Computer Graphics 24 (4), 145–154 (1990).
  • [3] L. Szirmay-Kalos, Monte-Carlo Methods in Global Illumination, VDM, 2000.
  • [4] J.T. Kajiya, “The rendering equation”, ACM SIGGRAPH Computer Graphics 20 (4), ACM, 1986
  • [5] E.P. Lafortune and Y.D. Willems, “Bi-directional path tracing”, Proc. Third International Conference on Computational Graphics and Visualization Techniques (Compugraphics ’93), (1993).
  • [6] E. Veach and L.J. Guibas, “Bidirectional estimators for light transport”, 5th Eurographics Workshop on Rendering, 147–162 (1994).
  • [7] E. Veach and L.J. Guibas, “Metropolis light transport”, Proc. Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH ’97, (1997).
  • [8] H.W. Jensen, “Global Illumination using photon maps”, Proc. Eurographics Workshop on Rendering Techniques ’96, (1996).
  • [9] K. Guzek and P. Napieralski, “Algorithms and methods for global illumination”, in Computer Science in Novel Application: Human-Centered Interdisciplinary Applications, pp. 87–102, ed. A. Romanowski, Łódź University of Technology, Łódź, 2012.
  • [10] R.J. Garcia Hernandez, C. Ureña, J. Poch, and M. Sbert, “Overestimation and underestimation biases in photon mapping with non-constant kernels”, IEEE Transactions on Visualization and Computer Graphics 20 (10), 1441–1450 (2014).
  • [11] M. Lastra, C. Ureña, J. Revelles, and R. Montes, “A particle-path based method for Monte-Carlo density estimation”, 13th Eurographics Workshop on Rendering, 33‒40 (2002)
  • [12] V. Havran, J. Bittner, and H.-P. Seidel, “Ray maps for global illumination”, Eurographics Symposium on Rendering/Eurographics Workshop on Rendering Techniques, 43- 54 (2005).
  • [13] R.F. Tobler and S. Maierhofer, “Improved illumination estimation for photon maps in architectural scenes”, International Conference in Central Europe on Computer Graphics, Visualization, and Computer Vision, 257–262 (2006).
  • [14] J.R. Frisvad, L. Schjøth, K. Erleben, and J. Sporring, “Photon differential splatting for rendering caustics”, Computer Graphics Forum 33 (6), 252–263 (2012).
  • [15] R. Schregle, “Bias compensation for photon maps”, Computer Graphics Forum 22 (4), 729–742 (2003).
  • [16] T. Hachisuka, S. Ogaki, and H.W Jensen, “Progressive photon mapping”, ACM Transactions on Graphics 27 (5), 130:1–130:8 (2008).
  • [17] L.-H. Chen, T.-C. Tsai, and Y.-S. Chen, “Grouped photon mapping”, The Visual Computer 26 (3), 217‒226 (2010).
  • [18] J. Günther, I. Wald, and P. Slusallek, “Realtime caustics using distributed photon mapping”, Proc. 15th Eurographics Symposium on Rendering 2004, 111–121 (2004).
  • [19] K. Guzek and P. Napieralski, “Streamed Photon Mapping”, Metody Informatyki Stosowanej 4/2011 (29), 67‒74 (2011).
  • [20] R.H. Sheikh, A.C. Bovik, and L. Cormack, “No-reference quality assessment using natural scene statistics: JPEG2000”, IEEE Trans. on Image Processing 14 (11), 1918–1927 (2005).
  • [21] W.A. Stokes, J.A. Ferwerda, B. Walter, and D.P. Greenberg, “Perceptual illumination omponents: a new approach to efficient, high quality global illumination rendering”, ACM Transactions on Graphics – Proc. ACM Siggraph 2004 23 (3), 742–749 (2004).
  • [22] R. Herzog, M. Cadik, T.O. Aydcin, K.I. Kim, K. Myszkowski, and H.-P. Sidel, “NoRM: no-reference image quality metric for realistic image synthesis”, Computer Graphics Forum 31 (2), 545–554 (2012).
  • [23] K. Guzek, and P. Napieralski, “Measurement of noise in the Monte Carlo point sampling method”, Bull. Pol. Ac.: Tech. 59 (1), 15–19 (2011).
  • [24] B.W. Silverman, Density Estimation for Statistics and Data Analysis, CRC Press, London, 1986.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1692574b-21b8-42e9-93e9-c73def8397ff
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