Title: Anti-aliased Hemicubes for Performance Improvements in Radiosity Solutions
Authors: Kiran, Naga
Mudur, S. P.
Chandran, Sharat
Dalvi, Nilesh
Citation: WSCG '2001: Conference proceedings: The 9-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2001: University of West Bohemia, Plzen, Czech Republic, February 5.-9., 2001, p. 336-343.
Issue Date: 2001
Publisher: University of West Bohemia
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/wscg2001/Papers_2001/R294.pdf
ISBN: 80-7082-713-0
ISSN: 1213-6972
Keywords: radiozita;pořadí viditelnosti;adaptivní substrukturování
Keywords in different language: radiosity;visibility order;adaptive substructuring
Abstract: Several important and fascinating aspects of realistic images are captured by the radiosity method. In this paper we use an alternate form of the classical hemicube that reduces aliasing problems inherent in the original method without giving up the computational advantages of the hemicube. Unlike other methods, we explicitly consider the e ect of the relative order of partial visibility in a hemicube cell when recording form factors. This enables us to compute form factors accurately (even) in progressive re nement radiosity with adaptive substructuring. Our empirical results with progressive re nement radiosity show superior mesh density where ne details are required, (such as in soft shadows), as well as in areas that produce singularities (such as when inter element distances tend to zero). Our method is contrasted with hierarchical radiosity which uses raycasting for form factor and visibility computations. On a low end Intel Linux platform, and for a comparable image quality, our method takes substantially less time.
Rights: © University of West Bohemia
Appears in Collections:WSCG '2001: Conference proceedings

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