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Sample thread based real-time BRDF rendering  

Kim, Soon-Hyun (Ajou University)
Kyung, Min-Ho (Ajou University)
Lee, Joo-Haeng (ETRI)
Publication Information
Journal of the Korea Computer Graphics Society / v.16, no.3, 2010 , pp. 1-10 More about this Journal
Abstract
In this paper, we propose a novel noiseless method of BRDF rendering on a GPU in real-time. Illumination at a surface point is formulated as an integral of BRDF producted with incident radiance over the hemi-sphere domain. The most popular method to compute the integral is the Monte Carlo method, which needs a large number of samples to achieve good image quality. But, it leads to increase of rendering time. Otherwise, a small number of sample points cause serious image noise. The main contribution of our work is a new importance sampling scheme producing a set of incoming ray samples varying continuously with respect to the eye ray. An incoming ray is importance-based sampled at different latitude angles of the eye ray, and then the ray samples are linearly connected to form a curve, called a thread. These threads give continuously moving incident rays for eye ray change, so they do not make image noise. Since even a small number of threads can achieve a plausible quality and also can be precomputed before rendering, they enable real-time BRDF rendering on the GPU.
Keywords
BRDF rendering; importance sampling; sample thread; probability density function;
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