Low Latency Photon Mapping Using Block Hashing
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Date
2002
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
For hardware accelerated rendering, photon mapping is especially useful for simulating caustic lighting effects on non-Lambertian surfaces. However, an efficient hardware algorithm for the computation of the k nearest neighbours to a sample point is required. Existing algorithms are often based on recursive spatial subdivision techniques, such as kd-trees. However, hardware implementation of a tree-based algorithm would have a high latency, or would require a large cache to avoid this latency on average. We present a neighbourhood-preserving hashing algorithm that is low-latency and has sub-linear access time. This algorithm is more amenable to fine-scale parallelism than tree-based recursive spatial subdivision, and maps well onto coherent block-oriented pipelined memory access. These properties make the algorithm suitable for implementation using future programmable fragment shaders with only one stage of dependent texturing.
Description
@inproceedings{:10.2312/EGGH/EGGH02/089-098,
booktitle = {SIGGRAPH/Eurographics Workshop on Graphics Hardware},
editor = {Thomas Ertl and Wolfgang Heidrich and Michael Doggett},
title = {{Low Latency Photon Mapping Using Block Hashing}},
author = {Ma, Vincent C. H. and McCool, Michael D.},
year = {2002},
publisher = {The Eurographics Association},
ISSN = {1727-3471},
ISBN = {1-58113-580-1},
DOI = {/10.2312/EGGH/EGGH02/089-098}
}