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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-47730

Pajarola, R; Sainz, M; Lario, R (2005). XSplat: External Memory Multiresolution Point Visualization. In: IASTED International Conference on Visualization, Imaging and Image Processing, Benidorm, Spain, 9 July 2005 - 9 September 2005, 628-633.

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Abstract

With the popularity of points as graphics primitives, it is
important to handle large-scale point sets that exceed available
in-core (main) memory. In particular, high-performance
level-of-details (LODs) visualization from
out-of-core is a challenging problem. In this context we
present a novel point-splatting approach, short XSplat, that
breaks the main memory barrier. It is based on a paginated
multiresolution point hierarchy and virtual memory mapping.
The main contributions are a novel block-based
sequential multiresolution point hierarchy, an efficient
LOD-block paging mechanism and dynamic mapping into
video-cache. XSplat is scalable by using sequentialized
data structures, and it seamlessly bridges the disk-, mainand
video-memory sub-systems. Experiments demonstrate
the quality and efficiency that is achieved by XSplat.

Citations

4 citations in Web of Science®
10 citations in Scopus®
Google Scholar™

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97 downloads since deposited on 24 Mar 2011
74 downloads since 12 months

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
DDC:000 Computer science, knowledge & systems
Event End Date:9 September 2005
Deposited On:24 Mar 2011 14:07
Last Modified:28 Nov 2013 01:20

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