Stefan lindholm
Scientific Visualization Group, Linköping University, Sweden
Daniel Jönsson
Scientific Visualization Group, Linköping University, Sweden
Hans Knusson
Department, Linköping University, Sweden
of Biomedical Engineering,
Anders Ynnerman
Scientific Visualization Group, Linköping University, Sweden
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Published in: Proceedings of SIGRAD 2013; Visual Computing; June 13-14; 2013; Norrköping; Sweden
Linköping Electronic Conference Proceedings 94:8, p. 55-60
Published: 2013-11-04
ISBN: 978-91-7519-455-4
ISSN: 1650-3686 (print), 1650-3740 (online)
We present a new method for sampling the volume rendering integral in volume raycasting where samples are correlated based on transfer function content and data set values. This has two major advantages. First; visual artifacts stemming from structured noise; such as wood grain; can be reduced. Second; we will show that the volume data does no longer need to be available during the rendering phase; a surface representation is used instead; which opens up ample opportunities for rendering of large data. We will show that the proposed sampling method gives higher quality renderings with fewer samples when compared to regular sampling in the spatial domain.
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