NDLI: Stochastic progressive photon mapping

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Stochastic progressive photon mapping

Content Provider	ACM Digital Library
Author	Jensen, Henrik Wann Hachisuka, Toshiya
Abstract	This paper presents a simple extension of progressive photon mapping for simulating global illumination with effects such as depth-of-field, motion blur, and glossy reflections. Progressive photon mapping is a robust global illumination algorithm that can handle complex illumination settings including specular-diffuse-specular paths. The algorithm can compute the correct radiance value at a point in the limit. However, progressive photon mapping is not effective at rendering distributed ray tracing effects, such as depth-of-field, that requires multiple pixel samples in order to compute the correct average radiance value over a region. In this paper, we introduce a new formulation of progressive photon mapping, called stochastic progressive photon mapping, which makes it possible to compute the correct average radiance value for a region. The key idea is to use shared photon statistics within the region rather than isolated photon statistics at a point. The algorithm is easy to implement, and our results demonstrate how it efficiently handles scenes with distributed ray tracing effects, while maintaining the robustness of progressive photon mapping in scenes with complex lighting.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISBN	9781605588582
DOI	10.1145/1661412.1618487
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-12-17
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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