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Proceedings Paper

Improved metropolis light transport algorithm based on multiple importance sampling
Author(s): Huaiqing He; Jiaqian Yang; Haohan Liu
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Paper Abstract

Metropolis light transport was an unbiased and robust Monte Carlo method, which could efficiently reduce noise during rendering the realistic graphics to resolve the global illumination problem. The basic Metropolis light transport was improved by combining with multiple importance sampling, which better solved the large correlation and high variance between samples caused by the basic Metropolis light transport. The experiences manifested that the quality of images generated by improved algorithm was better compared with the basic Metropolis light transport in the same scenes settings.

Paper Details

Date Published: 8 December 2015
PDF: 5 pages
Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98751Y (8 December 2015); doi: 10.1117/12.2228797
Show Author Affiliations
Huaiqing He, Civil Aviation Univ. of China (China)
Jiaqian Yang, Civil Aviation Univ. of China (China)
Haohan Liu, Civil Aviation Univ. of China (China)


Published in SPIE Proceedings Vol. 9875:
Eighth International Conference on Machine Vision (ICMV 2015)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev, Editor(s)

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