Robust and efficient adaptive direct lighting estimation

Verfasser / Beitragende:
[Yu-Chi Lai, Hsuan-Ting Chou, Kuo-Wei Chen, Shaohua Fan]
Ort, Verlag, Jahr:
2015
Enthalten in:
The Visual Computer, 31/1(2015-01-01), 83-91
Format:
Artikel (online)
ID: 605540179
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024 7 0 |a 10.1007/s00371-013-0908-z  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00371-013-0908-z 
245 0 0 |a Robust and efficient adaptive direct lighting estimation  |h [Elektronische Daten]  |c [Yu-Chi Lai, Hsuan-Ting Chou, Kuo-Wei Chen, Shaohua Fan] 
520 3 |a Hemispherical integrals are important for the estimation of direct lighting which has a major impact on the results of global illumination. This work proposes the population Monte Carlo hemispherical integral (PMC-HI) sampler to improve the efficiency of direct lighting estimation. The sampler is unbiased and derived from the population Monte Carlo framework which works on a population of samples and learns to be a better sampling function over iterations. Information found in one iteration can be used to guide subsequent iterations by distributing more samples to important sampling techniques to focus more efforts on the sampling sub-domains which have larger contributions to the hemispherical integrals. In addition, a cone sampling strategy is also proposed to enhance the success rate when complex occlusions exist. The images rendered with PMC-HI are compared against those rendered with multiple importance sampling (Veach and Guibas In: SIGGRAPH '95, pp 419-428, 1995), adaptive light sample distributions (Donikian et al. IEEE Trans Vis Comput Graph 12(3):353-364, 2006), and multidimensional hemispherical adaptive sampling (Hachisuka et al. ACM Trans Graph 27(3):33:1-33:10, 2008). Our PMC-HI sampler can improve rendering efficiency. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Ray-tracing  |2 nationallicence 
690 7 |a PMC  |2 nationallicence 
690 7 |a Monte Carlo  |2 nationallicence 
690 7 |a Global illumination  |2 nationallicence 
700 1 |a Lai  |D Yu-Chi  |u National Taiwan University of Science and Technology, Taipei, Taiwan, ROC  |4 aut 
700 1 |a Chou  |D Hsuan-Ting  |u National Taiwan University of Science and Technology, Taipei, Taiwan, ROC  |4 aut 
700 1 |a Chen  |D Kuo-Wei  |u National Taiwan University of Science and Technology, Taipei, Taiwan, ROC  |4 aut 
700 1 |a Fan  |D Shaohua  |u China and NYU Courant Institute of Mathematical Sciences, Suzhou University, Suzhou, China  |4 aut 
773 0 |t The Visual Computer  |d Springer Berlin Heidelberg  |g 31/1(2015-01-01), 83-91  |x 0178-2789  |q 31:1<83  |1 2015  |2 31  |o 371 
856 4 0 |u https://doi.org/10.1007/s00371-013-0908-z  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00371-013-0908-z  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Lai  |D Yu-Chi  |u National Taiwan University of Science and Technology, Taipei, Taiwan, ROC  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Chou  |D Hsuan-Ting  |u National Taiwan University of Science and Technology, Taipei, Taiwan, ROC  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Chen  |D Kuo-Wei  |u National Taiwan University of Science and Technology, Taipei, Taiwan, ROC  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Fan  |D Shaohua  |u China and NYU Courant Institute of Mathematical Sciences, Suzhou University, Suzhou, China  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t The Visual Computer  |d Springer Berlin Heidelberg  |g 31/1(2015-01-01), 83-91  |x 0178-2789  |q 31:1<83  |1 2015  |2 31  |o 371