Radiative transfer in horizontally and vertically inhomogeneous turbid media

Николаева, О. В.; Bass, L. P.; Germogenova, T. A.; Kuznetsov, V. S.; Kokhanovsky, Alexander A.

doi:10.1007/978-3-540-68435-0_8

Cited by 5 publications

(2 citation statements)

References 46 publications

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“…This interpretation leads us to integrointerpolational and finite element schemes. The reader is referred to [Nikolaeva et al 2007] for more explanation on this classification.…”

Section: Related Workmentioning

confidence: 99%

Parallel MDOM for light transport in participating media

Hakke-Patil

Bernabei

Collins

et al. 2013

Proceedings of the 29th Spring Conference on Computer Graphics

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We present a novel technique for physically based rendering of participating media like cloud, smoke, wax, marble, etc. We solve the radiative transfer equation (RTE) for participating media using the Modified Discrete Ordinate Method (MDOM), which computes the final solution as a combination of a direct and an indirect component. We propose a scalable GPU based parallel pipeline, for solving the RTE using the MDOM. This parallel RTE solver is capable of rendering intermediate results such as single scattering approximation. We overcome GPU memory size limitations by using low resolution radiance storage while doing high resolution radiance propagation. Furthermore, we achieve scalability by implementing an efficient volumetric data streaming mechanism. Our results demonstrate the ability of our method to render high quality multiple scattering effects.

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“…This interpretation leads us to integrointerpolational and finite element schemes. The reader is referred to [Nikolaeva et al 2007] for more explanation on this classification.…”

Section: Related Workmentioning

confidence: 99%

Parallel MDOM for light transport in participating media

Hakke-Patil

Bernabei

Collins

et al. 2013

Proceedings of the 29th Spring Conference on Computer Graphics

View full text Add to dashboard Cite

show abstract

“…где n -внешняя нормаль к границе области ∂G, а κ(x) -коэффициент поглощения излучения в точке x. Алгоритмы численного решения задач распространения излучения условно можно разделить на две группы: итерационные алгоритмы и маршевые [Басс, Быков, Дергачев и др., 2006;Zhao, Liu, 2007;Галанин, Лукин, 2007;Галанин, Лукин, Чечеткин, 2010;Nikolaeva, Bass, Germogenova et al, 2007;Владимиров, 1961;Basko, Maruhn, Tauschwitz, 2009]. В алгоритмах первой группы после дискретизации исходная задача сводится системе линейных алгебраических уравнений СЛАУ, после чего эта СЛАУ решается тем или иным, как правило, итерационным способом.…”

Section: постановка задачиunclassified