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VoxelBars: An Informative Interface for Volume Visualization

教师个人信息

姓名
巫英才 浙江大学教师主页
学院
INTL Campus
研究方向
可视化与可视分析、体育人工智能、社交网络数据分析与挖掘、工业软件
成果类型
图书章节
Advances in Visual Computing

出版物信息

章节名称
VoxelBars: An Informative Interface for Volume Visualization
章节作者
Wai-Ho Mak, Ming-Yuen Chan, Yingcai Wu, Ka-Kei Chung & Huamin Qu
章节页码
161–170
著作名称
Advances in Visual Computing
副标题
4th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008, Proceedings, Part I
图书作者
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
出版社
Springer
P-ISBN
9783540896388
E-ISBN
9783540896395
摘要

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

纸电馆藏信息

数据库
Springer
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