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| Content Provider | ACM Digital Library |
|---|---|
| Author | Jarosz, Wojciech Spencer, Ben Bouchard, Guillaume Christensen, Per Jensen, Henrik Wann Knaus, Claude Kaschalk, Michael Frisvad, Jeppe Revall Selle, Andrew Hachisuka, Toshiya Jakob, Wenzel |
| Abstract | Photon-density estimation techniques are a popular choice for simulating light transport in scenes with complicated geometry and materials. This class of algorithms can be used to accurately simulate inter-reflections, caustics, color bleeding, scattering in participating media, and subsurface scattering. Since its introduction, photon-density estimation has been significantly extended in computer graphics with the introduction of: specialized techniques that intelligently modify the positions or bandwidths to reduce visual error using a small number of photons, approaches that eliminate error completely in the limit, and methods that use higher-order samples and queries to reduce error in participating media. This two-part course explains how to implement all these latest advances in photon-density estimation. It begins with a short introduction using classical photon mapping, but the remainder of the course provides new, hands-on explanations of the latest developments in this area by experts in each technique. Attendees gain concrete and practical understanding of the latest developments in photon-density-estimation techniques that have not been presented before in SIGGRAPH courses. |
| Starting Page | 1 |
| Ending Page | 469 |
| Page Count | 469 |
| File Format | PDF MP4 |
| ISBN | 9781450316781 |
| DOI | 10.1145/2343483.2343489 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-08-05 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Audio Text |
| Resource Type | Article |
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