Bidirectional Ray Tracing for the Integration of Illumination by the Quasi-Monte Carlo Method

Voloboi, A. G.; Галактионов, В. А.; Dmitriev, Kirill; Kopylov, Edward A.

doi:10.1023/b:pacs.0000043051.47471.aa

Cited by 8 publications

(2 citation statements)

References 6 publications

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“…An advantage of the quasi-Monte Carlo method is that the random noise is considerably smaller and the convergence rate is much higher under certain conditions. A detailed presentation of the quasi-Monte Carlo method as applied to the computation of the global illumination can be found in [13].…”

Section: Methods For Speeding Up the Computation Of Global Illuminationmentioning

confidence: 99%

Illumination Modeling and Generation of Realistic Images Using Internet Technologies

Barladyan

Voloboi

Vyukova

et al. 2005

Program Comput Soft

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-A technology for developing Internet applications involving computer graphics is presented. Such applications enable Internet users create physically accurate models of global scene illumination and produce high-quality images; it also allows scene editing. Based on this technology, software for creating active presentations or services accessed via the Internet was developed. Architectural, technological, and software solutions that ensure effective modeling of illumination, produce realistic images, and ensure a reasonable response time when working with Internet applications are considered.

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Section: Methods For Speeding Up the Computation Of Global Illuminationmentioning

confidence: 99%

Illumination Modeling and Generation of Realistic Images Using Internet Technologies

Barladyan

Voloboi

Vyukova

et al. 2005

Program Comput Soft

Self Cite

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“…The method can be implemented via several techniques [1,2,3,4] of which the photon map visualization approach [5,6,7,8] is the mostly usable now. Most of these methods calculate global illumination in the form of photon maps and then visualize them as the luminance of secondary and caustic illumination [5,7,9].…”

Section: Introductionmentioning

confidence: 99%

Estimation of noise in calculation of scattering medium luminance by MCRT

Ershov¹,

Zhdanov²,

Voloboy³

2019

MathMon

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We investigate new method for calculation of radiance of scattering medium by bi-directional Monte-Carlo ray tracing with photon maps. Usually photons are collected by an integration spheres at the ends of camera ray segments, or a cylinder along that segments. Meanwhile in our method several integration spheres are distributed at random along the first camera ray segment. The rest segments do not collecting photons. The method optimal for a particular scene is the one which produces the least noise, so one need to be able to estimate it. In this paper an analytic calculation of noise in the general bi-directional Monte-Carlo ray tracing is derived and then applied to the proposed method. Then the analytic estimates of noise can be used to find optimal parameters and/or to choose between single integration sphere, multiple integration spheres and integration cylinders.2010 Mathematics Subject Classification: 78-04, 65C05, 65C20.

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