Progressive photon mapping with sample elimination
| Autor: | Xiangxu Meng, Yanning Xu, Kang Chunmeng, Lu Wang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Photon mapping 020207 software engineering 02 engineering and technology Elimination method 021001 nanoscience & nanotechnology Sample (graphics) Colors of noise Feature (computer vision) 0202 electrical engineering electronic engineering information engineering Photon distribution 0210 nano-technology Algorithm Mathematics |
| Zdroj: | I3D |
| DOI: | 10.1145/2856400.2876012 |
| Popis: | Progressive photon mapping [Hachisuka et al. 2008] (PPM) obtains increasingly accurate results with progressive visualization, but it is problematic when results are obtained through thousands of iterations. An uniform photon distribution is critical for the accurate result. In this work, we use the sample elimination [Yuksel 2015] (SE) in PPM to achieve optimal results and accelerate the iterations. Sample elimination can produce sample sets with more pronounced blue noise characteristics. We apply the feature of this elimination method to the progressive iterations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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