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VoxelBars: An Informative Interface for Volume Visualization

Teacher Information

Name
WU Yingcai ZJU Faculty Homepage
Department
INTL Campus
Research
Visual Analytics, Information Visualization, Human Computer Interaction
Document Type
Book Chapter
Advances in Visual Computing

Publication

Chapter Title
VoxelBars: An Informative Interface for Volume Visualization
Author
Wai-Ho Mak, Ming-Yuen Chan, Yingcai Wu, Ka-Kei Chung & Huamin Qu
Page
161–170
Source Title
Advances in Visual Computing
Subtitle
4th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008, Proceedings, Part I
Author/Author of Source
George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Paolo Remagnino, Fatih Porikli, Jörg Peters, James Klosowski, Laura Arns, Yu Ka Chun, Theresa-Marie Rhyne, Laura Monroe
Publisher
Springer
P-ISBN
9783540896388
E-ISBN
9783540896395
Abstract

In this paper, we present VoxelBars as an informative interface for volume visualization. VoxelBars arrange voxels into a 2D space and visually encode multiple attributes of voxels into one display. VoxelBars allow users to easily find out clusters of interesting voxels, set opacities and colors of a specific group of voxels, and achieve various sophisticated visualization tasks at voxel level. We provide results on real volume data to demonstrate the advantages of the VoxelBars over scatterplots and traditional transfer function specification methods. Some novel visualization techniques including visibility-aware transfer function design and selective clipping based on VoxelBars are also introduced.

DOI
https://doi.org/10.1007/978-3-540-89639-5_16

Print & Electronic Holdings

Database
Springer
Link