Motion Blur for EWA Surface Splatting

This paper presents a novel framework for elliptical weighted average (EWA) surface splatting with time‐varying scenes. We extend the theoretical basis of the original framework by replacing the 2D surface reconstruction filters by 3D kernels which unify the spatial and temporal component of moving...

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Bibliographic Details
Published inComputer graphics forum Vol. 29; no. 2; pp. 733 - 742
Main Authors Heinzle, Simon, Wolf, Johanna, Kanamori, Yoshihiro, Weyrich, Tim, Nishita, Tomoyuki, Gross, Markus
Format Journal Article
LanguageEnglish
Published Oxford, UK Blackwell Publishing Ltd 01.05.2010
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Summary:This paper presents a novel framework for elliptical weighted average (EWA) surface splatting with time‐varying scenes. We extend the theoretical basis of the original framework by replacing the 2D surface reconstruction filters by 3D kernels which unify the spatial and temporal component of moving objects. Based on the newly derived mathematical framework we introduce a rendering algorithm that supports the generation of high‐quality motion blur for point‐based objects using a piecewise linear approximation of the motion. The rendering algorithm applies ellipsoids as rendering primitives which are constructed by extending planar EWA surface splats into the temporal dimension along the instantaneous motion vector. Finally, we present an implementation of the proposed rendering algorithm with approximated occlusion handling using advanced features of modern GPUs and show its capability of producing motion‐blurred result images at interactive frame rates.
Bibliography:istex:4455E4AE44C92FBFEB3B576897DA51522C69E563
ark:/67375/WNG-4M7KZH34-M
ArticleID:CGF1643
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2009.01643.x