Stochastic Depth Buffer Compression using Generalized Plane Encoding

In this paper, we derive compact representations of the depth function for a triangle undergoing motion or defocus blur. Unlike a static primitive, where the depth function is planar, the depth function is a rational function in time and the lens parameters. Furthermore, we show how these compact de...

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Bibliographic Details
Published inComputer graphics forum Vol. 32; no. 2pt1; pp. 103 - 112
Main Authors Andersson, M., Munkberg, J., Akenine-Möller, T.
Format Journal Article
LanguageEnglish
Published Oxford, UK Blackwell Publishing Ltd 01.05.2013
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Summary:In this paper, we derive compact representations of the depth function for a triangle undergoing motion or defocus blur. Unlike a static primitive, where the depth function is planar, the depth function is a rational function in time and the lens parameters. Furthermore, we show how these compact depth functions can be used to design an efficient depth buffer compressor/decompressor, which significantly lowers total depth buffer bandwidth usage for a range of test scenes. In addition, our compressor/decompressor is simpler in the number of operations needed to execute, which makes our algorithm more amenable for hardware implementation than previous methods.
Bibliography:ark:/67375/WNG-6KN163VR-0
istex:BD4B67E3EC6F4DDB27039FD7F817CA85AAB85EFB
ArticleID:CGF12030
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0167-7055
1467-8659
1467-8659
DOI:10.1111/cgf.12030