Hardware-assisted view-dependent isosurface extraction using spherical partition

Authors:
Jinzhu Gao;Han-Wei Shen
Affiliations:
The Ohio State University, Columbus, Ohio;The Ohio State University, Columbus, Ohio
Venue:
VISSYM '03 Proceedings of the symposium on Data visualisation 2003
Year:
2003

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Abstract

Extracting only the visible portion of an isosurface can improve both the computation efficiency and the rendering speed. However, the visibility test overhead can be quite high for large scale data sets. In this paper, we present a view-dependent isosurface extraction algorithm utilizing occlusion query hardware to accelerate visible isosurface extraction. A spherical partition scheme is proposed to traverse the data blocks in a layered front-to-back order. Such traversal order helps our algorithm to identify the visible isosurface blocks more quickly with fewer visibility queries. Our algorithm can compute a more complete isosurface in a smaller amount of time, and thus is suitable for time-critical visualization applications.