View-independent Modeling of Lighting Systems by Local Estimations of the Monte Carlo Method
DOI:
https://doi.org/10.24160/1993-6982-2021-1-70-75Keywords:
modeling of 3D scenes, beam tracing, Monte Carlo method, local estimations, view- independent visualization, image qualityAbstract
Computer-aided designing of lighting systems has been remaining of relevance for more than ten years. The most popular CAD packages for calculating lighting systems, such as DIAlux and Relux, are based on solving the radiosity equation. By using this equation, the illuminance distributions can be modeled, based on which the standardized quantitative lighting characteristics can be calculated. However, the human eye perceives brightness, not illuminance. The qualitative parameters of lighting are closely linked with the spatial-angular distribution of brightness, for calculation of which it is necessary to solve the global illumination equation. An analysis of the engineering matters concerned with designing of lighting systems points to the obvious need for a so-called view-independent calculation of lighting scenes, which means the possibility to visually represent a scene from different positions of sighting (a camera). The approach based on local estimations of the Monte Carlo method as one of efficient techniques for solving the global illumination equation is considered, and an algorithm for view-independent modeling based on the local estimations method is presented. Various algorithms for solving the problem of searching the intersection for the casted beams from a light source with the studied illumination scene are investigated.
References
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13. Марчук Г.И., Ермаков С.М., Михайлов Г.А. Метод Монте-Карло в атмосферной оптике. Новосибирск: Наука СО, 1976.
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---
Для цитирования: Будак В.П., Желтов В.С., Мешкова Т.В., Чембаев В.Д. Видонезависимое моделирование осветительных установок локальными оценками метода Монте–Карло // Вестник МЭИ. 2021. № 1.
#
1. Budak V.P., Zheltov V.S. Sovremennoe Sostoyanie i Perspektivy Razvitiya Komp'yuternykh Metodov Modelirovaniya Osvetitel'nykh Ustanovok. Svetotekhnika. 2017;1:18—23. (in Russian).
2. DIALux, Lighting, Smart Building [Ofits. Sayt] www.dial.de (Data Obrashcheniya 10.02.2020).
3. ReluxNet [Ofits. Sayt] www.relux.biz (Data Obrashcheniya 10.02.2020).
4. Ferree C., Rand G. The Efficiency of the Eye Under Different Conditions of Lighting. Trans. Illum. Eng. Soc. IES. 1915;10:407—447.
5. Jensen H.W. Global Illumination Using Photon Maps. Rendering Techn. Berlin: Springer-Verlag, 1996:21—30
6. Budak V.P., Meshkova T.V. DIALux 4.10 i DIALux EVO. Glavnye Razlichiya. Svetotekhnika. 2013;3:38—42. (in Russian).
7. Christensen N.J., Jensen H.W. A Practical Guide to Global Illumination and Photon Maps. Proc. Conf. Computer Graphics. 2000;8:77.
8. Korobko A.A. Matematicheskaya Model' Rasseyaniya Materiala Opticheskoy Shcheli Svetovoda. Svetotekhnika. 198;11:8—10. (in Russian).
9. Korobko A.A., Kushch O.K., Pyatigorskiy V.M. Raschet Profilya Zerkal'nogo Otrazhatelya Ploskogo Svetovoda. Svetotekhnika. 1983;3:5—7. (in Russian).
10. Chembaev V., Zheltov V., Budak V., Notfulin R. Relation of Instant Radiosity Method with Local Estimations of Monte Carlo Method. Proc. 24th Conf. Computer Graphics, Visualization and Computer Vision. 2016:189—196.
11. Kajiya J.T. The Rendering Equation. Proc. Conf. Computer Graphics. 1986;20;4:143—150.
12. Kalos M.H. On the Estimation of Flux at a Point by Monte Carlo. Nuclear Sci. and Eng. 1963;16;1:111—117.
13. Marchuk G.I., Ermakov S.M., Mikhaĭlov G.A. Metod Monte-Karlo v Atmosfernoĭ Optike. Novosibirsk: Nauka SO, 1976. (in Russian).
14. Goral C.M., Torrance K.E., Greenberg D.P. Modeling the Interaction of Light Between Diffuse Surfaces. Proc. Conf. Computer Graphics. 1984;18;3:213—222.
15. Budak V.P., Zheltov V.S., Kalakutskiy T.K. Lokal'nye Otsenki Metoda Monte-Karlo v Reshenii Uravneniya Global'nogo Osveshcheniya s Uchetom Spektral'nogo Predstavleniya Ob′ektov. Komp'yuternye Issledovaniya i Modelirovanie. 2012;4;1:75—84. (in Russian).
16. Marchuk G.I. Monte-Carlo Methods in Atmospheric Optics. Berlin: Springer-Verlag, 1980.
17. Zheltov V., Budak V. Local Monte Carlo Estimation Methods in the Solution of Global Illumination Equation. Proc. Conf. Computer Graphics, Visualization and Computer Vision. 2014:25—30.
18. Autodesk [Ofits.Sayt] www.autodesk.ru (Data Obrashcheniya 10.02.2020). (in Russian).
19. Wald I., Woop S., Benthin C., Johnson G.S., Ernst M. Embree: a Kernel Framework for Efficient CPU Ray Tracing. ACM Trans. Graphics. 2014;33;4:143—150.
20. Sobolev V.V. Tochechnyy Istochnik Sveta Mezhdu Parallel'nymi Ploskostyami. DAN SSSR. 1944;42;4:176—177. (in Russian).
21. Wald I., Benthin C., Wagner M., Slusallek P. Interactive Rendering with Coherent Ray Tracing. Proc. Eurographics. 2001;20;3:153—164.
---
For citation: Budak V.P., Zheltov V.S., Meshkova T.V., Chembaev V.D. View-independent Modeling of Lighting Systems by Local Estimations of the Monte Carlo Method. Bulletin of MPEI. 2021;1:70—75. (in Russian).
2. DIALux, Lighting, Smart Building [Офиц. сайт] www.dial.de (дата обращения 10.02.2020).
3. ReluxNet [Офиц. сайт] www.relux.biz (дата обращения 10.02.2020).
4. Ferree C., Rand G. The Efficiency of the Eye Under Different Conditions of Lighting // Trans. Illum. Eng. Soc. IES. 1915. V. 10. Pp. 407—447.
5. Jensen H.W. Global Illumination Using Photon Maps // Rendering Techn. Berlin: Springer-Verlag, 1996. Pp. 21—30
6. Будак В.П., Мешкова Т.В. DIALux 4.10 и DIALux EVO. Главные различия // Светотехника. 2013. № 3. С. 38—42.
7. Christensen N.J., Jensen H.W. A Practical Guide to Global Illumination and Photon Maps // Proc. Conf. Computer Graphics. 2000. V. 8. P. 77.
8. Коробко А.А. Математическая модель рассеяния материала оптической щели световода // Светотехника. 1983. № 11. С. 8—10.
9. Коробко А.А., Кущ О.К., Пятигорский В.М. Расчет профиля зеркального отражателя плоского световода // Светотехника. 1983. № 3. С. 5—7.
10. Chembaev V., Zheltov V., Budak V., Notfulin R. Relation of Instant Radiosity Method with Local Estimations of Monte Carlo Method // Proc. 24th Conf. Computer Graphics, Visualization and Computer Vision. 2016. Pp. 189—196.
11. Kajiya J.T. The Rendering Equation // Proc. Conf. Computer Graphics. 1986. V. 20. No. 4. Pp. 143—150.
12. Kalos M.H. On the Estimation of Flux at a Point by Monte Carlo // Nuclear Sci. and Eng. 1963. V. 16. No. 1. Pp. 111—117.
13. Марчук Г.И., Ермаков С.М., Михайлов Г.А. Метод Монте-Карло в атмосферной оптике. Новосибирск: Наука СО, 1976.
14. Goral C.M., Torrance K.E., Greenberg D.P. Modeling the Interaction of Light Between Diffuse Surfaces // Proc. Conf. Computer Graphics. 1984. V. 18. No. 3. Pp. 213—222.
15. Будак В.П., Желтов В.С., Калакуцкий Т.К. Локальные оценки метода Монте-Карло в решении уравнения глобального освещения с учетом спектрального представления объектов // Компьютерные исследования и моделирование. 2012. Т. 4. № 1. С. 75—84.
16. Marchuk G.I. Monte-Carlo Methods in Atmospheric Optics. Berlin: Springer-Verlag, 1980.
17. Zheltov V., Budak V. Local Monte Carlo Estimation Methods in the Solution of Global Illumination Equation // Proc. Conf. Computer Graphics, Visualization and Computer Vision. 2014. Pp. 25—30.
18. Autodesk [Офиц. сайт] www.autodesk.ru (дата обращения 10.02.2020).
19. Wald I., Woop S., Benthin C., Johnson G.S., Ernst M. Embree: a Kernel Framework for Efficient CPU Ray Tracing // ACM Trans. Graphics. 2014. V. 33. No. 4. Pp. 143—150.
20. Соболев В.В. Точечный источник света между параллельными плоскостями // ДАН СССР. 1944. Т. 42. № 4. С. 176—177.
21. Wald I., Benthin C., Wagner M., Slusallek P. Interactive Rendering with Coherent Ray Tracing // Proc. Eurographics. 2001. V. 20. No. 3. Pp. 153—164.
---
Для цитирования: Будак В.П., Желтов В.С., Мешкова Т.В., Чембаев В.Д. Видонезависимое моделирование осветительных установок локальными оценками метода Монте–Карло // Вестник МЭИ. 2021. № 1.
#
1. Budak V.P., Zheltov V.S. Sovremennoe Sostoyanie i Perspektivy Razvitiya Komp'yuternykh Metodov Modelirovaniya Osvetitel'nykh Ustanovok. Svetotekhnika. 2017;1:18—23. (in Russian).
2. DIALux, Lighting, Smart Building [Ofits. Sayt] www.dial.de (Data Obrashcheniya 10.02.2020).
3. ReluxNet [Ofits. Sayt] www.relux.biz (Data Obrashcheniya 10.02.2020).
4. Ferree C., Rand G. The Efficiency of the Eye Under Different Conditions of Lighting. Trans. Illum. Eng. Soc. IES. 1915;10:407—447.
5. Jensen H.W. Global Illumination Using Photon Maps. Rendering Techn. Berlin: Springer-Verlag, 1996:21—30
6. Budak V.P., Meshkova T.V. DIALux 4.10 i DIALux EVO. Glavnye Razlichiya. Svetotekhnika. 2013;3:38—42. (in Russian).
7. Christensen N.J., Jensen H.W. A Practical Guide to Global Illumination and Photon Maps. Proc. Conf. Computer Graphics. 2000;8:77.
8. Korobko A.A. Matematicheskaya Model' Rasseyaniya Materiala Opticheskoy Shcheli Svetovoda. Svetotekhnika. 198;11:8—10. (in Russian).
9. Korobko A.A., Kushch O.K., Pyatigorskiy V.M. Raschet Profilya Zerkal'nogo Otrazhatelya Ploskogo Svetovoda. Svetotekhnika. 1983;3:5—7. (in Russian).
10. Chembaev V., Zheltov V., Budak V., Notfulin R. Relation of Instant Radiosity Method with Local Estimations of Monte Carlo Method. Proc. 24th Conf. Computer Graphics, Visualization and Computer Vision. 2016:189—196.
11. Kajiya J.T. The Rendering Equation. Proc. Conf. Computer Graphics. 1986;20;4:143—150.
12. Kalos M.H. On the Estimation of Flux at a Point by Monte Carlo. Nuclear Sci. and Eng. 1963;16;1:111—117.
13. Marchuk G.I., Ermakov S.M., Mikhaĭlov G.A. Metod Monte-Karlo v Atmosfernoĭ Optike. Novosibirsk: Nauka SO, 1976. (in Russian).
14. Goral C.M., Torrance K.E., Greenberg D.P. Modeling the Interaction of Light Between Diffuse Surfaces. Proc. Conf. Computer Graphics. 1984;18;3:213—222.
15. Budak V.P., Zheltov V.S., Kalakutskiy T.K. Lokal'nye Otsenki Metoda Monte-Karlo v Reshenii Uravneniya Global'nogo Osveshcheniya s Uchetom Spektral'nogo Predstavleniya Ob′ektov. Komp'yuternye Issledovaniya i Modelirovanie. 2012;4;1:75—84. (in Russian).
16. Marchuk G.I. Monte-Carlo Methods in Atmospheric Optics. Berlin: Springer-Verlag, 1980.
17. Zheltov V., Budak V. Local Monte Carlo Estimation Methods in the Solution of Global Illumination Equation. Proc. Conf. Computer Graphics, Visualization and Computer Vision. 2014:25—30.
18. Autodesk [Ofits.Sayt] www.autodesk.ru (Data Obrashcheniya 10.02.2020). (in Russian).
19. Wald I., Woop S., Benthin C., Johnson G.S., Ernst M. Embree: a Kernel Framework for Efficient CPU Ray Tracing. ACM Trans. Graphics. 2014;33;4:143—150.
20. Sobolev V.V. Tochechnyy Istochnik Sveta Mezhdu Parallel'nymi Ploskostyami. DAN SSSR. 1944;42;4:176—177. (in Russian).
21. Wald I., Benthin C., Wagner M., Slusallek P. Interactive Rendering with Coherent Ray Tracing. Proc. Eurographics. 2001;20;3:153—164.
---
For citation: Budak V.P., Zheltov V.S., Meshkova T.V., Chembaev V.D. View-independent Modeling of Lighting Systems by Local Estimations of the Monte Carlo Method. Bulletin of MPEI. 2021;1:70—75. (in Russian).
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Published
2020-03-15
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Section
Lighting Engineering (05.09.07)
