Adaptive extraction and visualization of silhouette curves from volumetric datasets
Sagi Schein, Gershon Elber
In The Visual Computer, 20(4), 2004.
Abstract: An algorithm for silhouette extraction from volumetric data is presented. Trivariate tensor product B-spline functions are used to represent the data. An offline phase that arranges the data in a lookup table is employed to improve the computation time during an interactive session. A subdivision scheme is employed to extract the silhouette curves from an implicit trivariate B-spline function. The produced results are smooth, high-quality silhouette curves when compared to voxel-based silhouette extraction schemes.
Keyword(s): NPR, Volume rendering, Silhouette extraction, Surface and volume modeling, Visualization and rendering
@article{Schein:2004:AEA,
author = {Sagi Schein and Gershon Elber},
title = {Adaptive extraction and visualization of silhouette curves from volumetric datasets},
journal = {The Visual Computer},
volume = {20},
number = {4},
pages = {243--252},
year = {2004},
}
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