Improved metropolis light transport algorithm based on multiple importance sampling

Huaiqing He; Jiaqian Yang; Haohan Liu

doi:10.1117/12.2228797

8 December 2015 Improved metropolis light transport algorithm based on multiple importance sampling

Huaiqing He, Jiaqian Yang, Haohan Liu

Proceedings Volume 9875, Eighth International Conference on Machine Vision (ICMV 2015); 98751Y (2015) https://doi.org/10.1117/12.2228797
Event: Eighth International Conference on Machine Vision, 2015, Barcelona, Spain

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.

Citation Download Citation

Huaiqing He, Jiaqian Yang, and Haohan Liu "Improved metropolis light transport algorithm based on multiple importance sampling", Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98751Y (8 December 2015); https://doi.org/10.1117/12.2228797

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