A SYSTEMATIC APPROACH TO MULTIPLE DATASETS VISUALIZATION OF SCALAR VOLUME DATA

Gaurav Khanduja, Bijaya B. Karki

Abstract

Many applications require simultaneous display of multiple datasets, representing multiple samples, or multiple conditions, or multiple simulation times, in the same visualization. Such multiple dataset visualization (MDV) has to handle and render massive amounts of data concurrently. We analyze the performance of two widely used techniques, namely, isosurface extraction and texture-based rendering for visualization of multiple sets of the scalar volume data. Preliminary tests performed using up to 25 sets of moderate-size (2563) data show that the calculated times for the generation and rendering of polygons representing isosurface, and for the mapping of a series of textured slices increase non-uniformly with increasing the number of individual datasets. Both techniques are found to no longer be interactive with the frame-rates dropping below one for six or more datasets. To improve the MDV frame-rate, we propose a scheme based on the combination of hardware-assisted texture mapping and general clipping. In essence, it exploits the 3D surface texture mapping by rendering only the externally visible surfaces of all volume datasets at a given instant, with dynamic clipping enabled to explore the interior of the data. The calculated frame-rates remain above one and are substantially higher than those with the other two techniques.

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Paper Citation


in Harvard Style

Khanduja G. and B. Karki B. (2006). A SYSTEMATIC APPROACH TO MULTIPLE DATASETS VISUALIZATION OF SCALAR VOLUME DATA . In Proceedings of the First International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, ISBN 972-8865-39-2, pages 59-66. DOI: 10.5220/0001353200590066


in Bibtex Style

@conference{grapp06,
author={Gaurav Khanduja and Bijaya B. Karki},
title={A SYSTEMATIC APPROACH TO MULTIPLE DATASETS VISUALIZATION OF SCALAR VOLUME DATA},
booktitle={Proceedings of the First International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP,},
year={2006},
pages={59-66},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001353200590066},
isbn={972-8865-39-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP,
TI - A SYSTEMATIC APPROACH TO MULTIPLE DATASETS VISUALIZATION OF SCALAR VOLUME DATA
SN - 972-8865-39-2
AU - Khanduja G.
AU - B. Karki B.
PY - 2006
SP - 59
EP - 66
DO - 10.5220/0001353200590066