Russian Federation
Russian Federation
Russian Federation
Moskva, Russian Federation
GRNTI 50.07 Теоретические основы вычислительной техники
BBK 3297 Вычислительная техника
The paper presents an improvement of Monte-Carlo ray tracing which changes ray emission from a light source to accelerate convergence i.e. reduce the noise remained after the given run time. It is mainly intended for interior scenes illuminated from outside (e.g. skylight) through windows or other holes. The rays from light sources are generated so that they are directed to these windows. In other words, the number of rays is increased for directions that contribute to the camera image. It is shown that the proposed method allows calculating image with desirable quality several times faster.
ray tracing, lighting simulation, Monte-Carlo, optimal PDF
1. Peter Shirley, Changyaw Wang, and Kurt Zimmerman. 1996.Monte Carlo techniques for direct lighting calculations. ACMTrans. Graph. 15(1), 1-36 (1996). DOIhttp://dx.doi.org/10.1145/226150.226151
2. Jensen, H.W. Importance driven path tracing using the photonmap. In Rendering Techniques (proc. EGWR) (1995)
3. Lafortune E.P., Willems Y.D. A 5D Tree to Reduce theVariance of Monte Carlo Ray Tracing. In: Hanrahan P.M.,Purgathofer W. (eds) Rendering Techniques ’95.Eurographics. Springer, Vienna (1995). DOIhttps://doi.org/10.1007/978-3-7091-9430-0_2
4. D. Burke, A. Ghosh and W. Heidrich. BidirectionalImportance Sampling for Direct Illumination. EurographicsSymposium on Rendering (2005)
5. Heinrich Hey and Werner Purgathofer. Importance samplingwith hemispherical particle footprints. In Proceedings of the18th Spring Conference on Computer Graphics (SCCG '02).ACM, New York, NY, USA, 107-114. (2002) DOIhttp://dx.doi.org/10.1145/584458.584476
6. Sebastian Herholz, Oskar Elek, Jiˇrí Vorba, Hendrik Lensch,Jaroslav Kˇrivánek. Product Importance Sampling for LightTransport Path Guiding. Eurographics Symposium onRendering 2016, 35(4) (2016)
7. Vorba J., Karlík O., Šik M., Ritschel T., Kˇrivánek J.: On-linelearning of parametric mixture models for light transportsimulation. ACM Trans. Graph. (Proc. of SIGGRAPH) 33(2014).
8. Petrik Clarberg, Wojciech Jarosz, Tomas Akenine-Möller,and Henrik Wann Jensen. 2005. Wavelet importancesampling: efficiently evaluating products of complexfunctions. ACM Trans. Graph. 24, 3 (July 2005), 1166-1175.DOI: https://doi.org/10.1145/1073204.1073328
9. Veach E., Guibas L. J. Metropolis Light Transport. //SIGGRAPH ’97 Proceedings of the 24th annual conference onComputer graphics and interactive techniques, 65-76 (1997)
10. Veach E., Guibas L. J. Optimally combining samplingtechniques for Monte Carlo rendering. ACM SIGGRAPH1995, pp. 419-428
11. Mateu Sbert, Vlastimil Havran and Laszlo Szirmay-Kalos.Multiple importance sampling revisited: breaking the bounds.EURASIP Journal on Advances in Signal Processing (2018)2018:15 https://doi.org/10.1186/s13634-018-0531-2
