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 scat- terplots 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. © Springer-Verlag Berlin Heidelberg 2008.
CITATION STYLE
Mak, W. H., Chan, M. Y., Wu, Y., Chung, K. K., & Qu, H. (2008). VoxelBars: An informative interface for volume visualization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5358 LNCS, pp. 161–170). https://doi.org/10.1007/978-3-540-89639-5_16
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