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Relation-Aware Volume Exploration Pipeline
November/December 2008 (vol. 14 no. 6)
pp. 1683-1690
ASCII Text
x 
 
Ming-Yuen Chan, Huamin Qu, Ka-Kei Chung, Wai-Ho Mak, Yingcai Wu, "Relation-Aware Volume Exploration Pipeline," IEEE Transactions on Visualization and Computer Graphics, vol. 14, no. 6, pp. 1683-1690, November/December, 2008.
 
 
BibTex
x
 
@article{ 10.1109/TVCG.2008.159,
author = {Ming-Yuen Chan and Huamin Qu and Ka-Kei Chung and Wai-Ho Mak and Yingcai Wu},
title = {Relation-Aware Volume Exploration Pipeline},
journal ={IEEE Transactions on Visualization and Computer Graphics},
volume = {14},
number = {6},
issn = {1077-2626},
year = {2008},
pages = {1683-1690},
doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2008.159},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Visualization and Computer Graphics
TI - Relation-Aware Volume Exploration Pipeline
IS - 6
SN - 1077-2626
SP1683
EP1690
EPD - 1683-1690
A1 - Ming-Yuen Chan,
A1 - Huamin Qu,
A1 - Ka-Kei Chung,
A1 - Wai-Ho Mak,
A1 - Yingcai Wu,
PY - 2008
KW - Index Terms—Exploratory Visualization
KW - Relation-Based Visualization
KW - Visualization Pipeline.
VL - 14
JA - IEEE Transactions on Visualization and Computer Graphics
ER -
 
Ming-Yuen Chan, The Hong Kong University of Science and Technolgoy
Huamin Qu, The Hong Kong University of Science and Technolgoy
Ka-Kei Chung, The Hong Kong University of Science and Technolgoy
Wai-Ho Mak, The Hong Kong University of Science and Technolgoy
Yingcai Wu, The Hong Kong University of Science and Technolgoy
Volume exploration is an important issue in scientific visualization. Research on volume exploration has been focused on revealing hidden structures in volumetric data. While the information of individual structures or features is useful in practice, spatial relations between structures are also important in many applications and can provide further insights into the data. In this paper, we systematically study the extraction, representation,exploration, and visualization of spatial relations in volumetric data and propose a novel relation-aware visualization pipeline for volume exploration. In our pipeline, various relations in the volume are first defined and measured using region connection calculus (RCC) and then represented using a graph interface called relation graph. With RCC and the relation graph, relation query and interactive exploration can be conducted in a comprehensive and intuitive way. The visualization process is further assisted with relation-revealing viewpoint selection and color and opacity enhancement. We also introduce a quality assessment scheme which evaluates the perception of spatial relations in the rendered images. Experiments on various datasets demonstrate the practical use of our system in exploratory visualization.

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Index Terms:
Index Terms—Exploratory Visualization, Relation-Based Visualization, Visualization Pipeline.
Citation:
Ming-Yuen Chan, Huamin Qu, Ka-Kei Chung, Wai-Ho Mak, Yingcai Wu, "Relation-Aware Volume Exploration Pipeline," IEEE Transactions on Visualization and Computer Graphics, vol. 14, no. 6, pp. 1683-1690, Nov.-Dec. 2008, doi:10.1109/TVCG.2008.159
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