Title: | A Compression Method For Spectral Photon Map Rendering |
Authors: | Lai, Gorm Christensen, Niels Jørgen |
Citation: | WSCG '2007: Short Communications Proceedings: The 15th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2007 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, January 29 – February 1, 2007, p. 95-102. |
Issue Date: | 2007 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://wscg.zcu.cz/wscg2007/Papers_2007/short/!WSCG2007_Short_Proceedings_Final-Part_1.zip http://hdl.handle.net/11025/11168 |
ISBN: | 978-80-86943-02-2 |
Keywords: | globální osvětlení;mapování fotonů;spektrální rozložení výkonů;vykreslování;Monte Carlo;refrakce;zobrazovací rovnice |
Keywords in different language: | global illumination;photon mapping;spectral power distribution;rendering;Monte Carlo;refraction;rendering equation |
Abstract: | The photon map method can easily be extended to handle wavelength-dependent phenomena such as dispersion, chromatic aberration, etc. Using the computationally effective approach of point sampling for this extension, the size of the photon map is increased proportionally with the number of samples. In this paper we present a solution for modelling wavelength-dependent phenomena that keeps variance low, while having a memory usage comparable to that of an RGB based renderer. The method is best used for photon mapping, where there is a need to store large amounts of spectral flux directly in the photon map. Our method incurs a slight loss of accuracy for photons in the global map, while photons in the caustics map retain all information. Our tests show negligible loss of accuracy in the image quality. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG '2007: Short Communications Proceedings |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Lai.pdf | Plný text | 1,29 MB | Adobe PDF | View/Open |
Lai_prezentace.ppt | Prezentace | 1,5 MB | Microsoft Powerpoint | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/11168
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