Frank Suykens and Yves Willems. Adaptive filtering for progressive monte carlo image rendering. 2000. 189 Home/Search Document Details and Download
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Two Algorithms For Progressive Computation Of Accurate Global.. - Tole (2003) (Correct)
....its support such that the visible noise added to the image by each new sample is minimized. 3.3.2 BRDF based Energy Preserving Filter The simplest way to filter individual samples is to use an image plane blurring function, such as a Gaussian filter. This approach was used by Suykens and Willems [SW00] in their progressive bidirectional path tracing algorithm. They used a radially symmetric filter based on the standard Epanechnikov kernel [Sil86, page 40] whose width was determined using density estimation. The biggest advantage of this approach is its efficiency. However, this filter often ....
....above. Our algorithm was inspired by the image filtering techniques of Rushmeier and 58 Ward [RW94] and McCool [McC99] Both these techniques work as post processes on noisy images and are therefore, not suitable for progressive computation. More relevant is the work of Suykens and Willems [SW00] They presented a progressive global illumination algorithm similar to ours, based on adaptive filtering of bidirectional path tracing samples. We believe that our algorithm performs much better in realistic environments containing complex geometry and non diffuse or textured materials, for ....
Frank Suykens and Yves D. Willems. Adaptive filtering for progressive monte carlo image rendering. The 8-th International Conference in Central Europe on Computer Graphics, Visualization and Interactive Digital Media 2000 (WSCG' 2000), February 2000. Held in Plzen, Czech Republic. 113
State of the Art in Monte Carlo Ray Tracing for Realistic Image.. - Jensen (2001) (Correct)
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Frank Suykens and Yves Willems. Adaptive filtering for progressive monte carlo image rendering. 2000. 189
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