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Survey on semi-regular multiresolution models for interactive terrain rendering


Pajarola, R; Gobbetti, E (2007). Survey on semi-regular multiresolution models for interactive terrain rendering. The Visual Computer, 23(8):583-605.

Abstract

Rendering high quality digital terrains at interactive
rates requires carefully crafted algorithms and data
structures able to balance the competing requirements of realism and frame rates, while taking into account the memory and speed limitations of the underlying graphics platform.
In this survey, we analyze multi-resolution approaches
that exploit a certain semi-regularity of the data. These approaches have produced some of the most efficient systems
to date. After providing a short background and motivation
for the methods, we focus on illustrating models based on
tiled blocks and nested regular grids, quadtrees and triangle bin-trees triangulations, as well as cluster based approaches. We then discuss LOD error metrics and system-level data management aspects of interactive terrain visualization, including dynamic scene management, out-of-core data organization and compression, as well as numerical accuracy.

Abstract

Rendering high quality digital terrains at interactive
rates requires carefully crafted algorithms and data
structures able to balance the competing requirements of realism and frame rates, while taking into account the memory and speed limitations of the underlying graphics platform.
In this survey, we analyze multi-resolution approaches
that exploit a certain semi-regularity of the data. These approaches have produced some of the most efficient systems
to date. After providing a short background and motivation
for the methods, we focus on illustrating models based on
tiled blocks and nested regular grids, quadtrees and triangle bin-trees triangulations, as well as cluster based approaches. We then discuss LOD error metrics and system-level data management aspects of interactive terrain visualization, including dynamic scene management, out-of-core data organization and compression, as well as numerical accuracy.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Date:2007
Deposited On:24 Mar 2011 15:02
Last Modified:18 Feb 2018 12:58
Publisher:Springer
ISSN:0178-2789
OA Status:Green
Publisher DOI:https://doi.org/10.1007/s00371-007-0163-2

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