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RASTeR : simple and efficient terrain rendering on the GPU


Bösch, J; Goswami, P; Pajarola, R (2009). RASTeR : simple and efficient terrain rendering on the GPU. In: EUROGRAPHICS 2009, Munich, Germany, 30 February 2009 - 2 March 2009, 35-42.

Abstract

This paper introduces RASTeR, a GPU based LOD technique for interactive rendering of large terrains based on
a paired multi-resolution tree structure. Our approach uses regular height-data blocks and terrain independent triangle patches, which are used to efficiently subdivide the terrain data. At run time, continuous LODs can simply be generated by tiling a limited set of triangle patches, the indices to which are pre-computed, over height-field blocks, thereby minimizing the amount of data to be transferred to the graphics card. RASTeR maintains a constant frame rate through asynchronous and a priori fetching of raw or compressed elevation and texture data. The efficiency of our method is validated by presenting experimental results on large elevation models.

Abstract

This paper introduces RASTeR, a GPU based LOD technique for interactive rendering of large terrains based on
a paired multi-resolution tree structure. Our approach uses regular height-data blocks and terrain independent triangle patches, which are used to efficiently subdivide the terrain data. At run time, continuous LODs can simply be generated by tiling a limited set of triangle patches, the indices to which are pre-computed, over height-field blocks, thereby minimizing the amount of data to be transferred to the graphics card. RASTeR maintains a constant frame rate through asynchronous and a priori fetching of raw or compressed elevation and texture data. The efficiency of our method is validated by presenting experimental results on large elevation models.

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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
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:2 March 2009
Deposited On:09 Feb 2010 13:48
Last Modified:11 Aug 2017 14:20

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