State of the art in photon density estimation
State of the art in photon density estimation
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DOI：
10.1145/2542266.2542281
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发表时间：
2012-08
期刊：
影响因子：
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通讯作者：
T. Hachisuka;Wojciech Jarosz;Iliyan Georgiev;Anton Kaplanyan;D. Nowrouzezahrai;Ben Spencer
中科院分区：
文献类型：
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作者：
T. Hachisuka;Wojciech Jarosz;Iliyan Georgiev;Anton Kaplanyan;D. Nowrouzezahrai;Ben Spencer
光子密度估计技术是模拟具有复杂几何和材料的场景中的光传输的流行选择。此类算法可用于准确模拟参与介质中的相互反射、焦散、渗色、散射和次表面散射。自推出以来，光子密度估计在计算机图形学中得到了显着扩展，引入了以下技术：使用少量光子智能修改位置或带宽以减少视觉误差的专业技术、在极限范围内完全消除误差的方法、使用高阶样本和查询来减少参与介质中的误差的方法，以及弥合光子密度估计和其他技术之间差距的最新通用公式。本课程提供了实施光子密度估计方面所有这些最新进展所需的见解。本课程首先简要介绍使用经典光子映射进行光子密度估计，但由两部分组成的课程的其余部分由每种技术背后的专家提供了该领域最新发展的新的实践解释。该课程将使观众具体而实际地了解光子密度估计技术的最新发展，这些知识在之前的 SIGGRAPH/SIGGRAPH Asia 课程中尚未介绍过。
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 which eliminates error completely in the limit, methods that use higher-order samples and queries to reduce error in participating media, and recent generalized formulations that bridge the gap between photon density estimation and other techniques. This course provides the necessary insight to implement all these latest advances in photon density estimation. The course starts out with a short introduction to photon density estimation using classical photon mapping, but the remainder of the two-part course provides new, hands-on explanations of the latest developments in this area by the experts behind each technique. The course will give the audience concrete and practical understanding of the latest developments in photon density estimation techniques that have not been presented in prior SIGGRAPH/SIGGRAPH Asia courses.