Isosurface Extractions
Abstract
Space Efficient Fast Isosurface Extraction
for Large Datasets
IEEE Visualization 2003
Udeepta Bordoloi and Han-Wei Shen, October 2003
Remote Exploration of Isosurfaces
using Point Based Non-Photorealistic Rendering
IEEE Visualization 2002 Poster, Boston, Massachusetts
Guangfeng Ji, Han-Wei Shen, and Jinzhu Gao, October 2002
Parallel View-dependent Isosurface Extraction and Rendering
Tenth SIAM Conference on Parallel Processing for Scientific Computing
Jinzhu Gao, Han-Wei Shen, and Tony Garcia, March, 2001
A Case Study of Isosurface Extraction Algorithm Performance
2nd Joint Eurographics-IEEE TCCG Symposium on Visualization
Phil Sutton, Chuck Hansen, H.-W. Shen, and Dan Schikore, May. 2000
Isosurfacing in Span Space with Utmost Efficiency (ISSUE)
IEEE Visualization'96, San Francisco, California
H.-W. Shen, C.D. Hansen, Y. Livnat, and C.R. Johnson, October 1996
A Near Optimal Isosurface Extraction Algorithm
Using the Span Space
IEEE Transaction on Visualization and Computer Graphics Vol. 2, No. 1
Y. Livnat, H.-W. Shen, and C.R. Johnson, March 1996
Sweeping simplices:
A fast iso-surface extraction algorithm for unstructured grids
IEEE Visualization'95, Atlanta, Georgia
H.-W. Shen, and C.R. Johnson, 1995
Publication
Displaying isosurface is one of the most popular methods to visualize 3D scalar fields. When extracting isosurfaces, the traditional method such as Marching Cubes requires to scan the entire data set, which can be problematic when the underlying data set is large. To speed up the computation, researchers in the Gravite Research Group has developed several algorithms that can effectively minimize both the computation and the storage cost. We also developed methods that can be utilized in parallel and distributed environments.
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The Ohio State University, Department of Computer Science and Engineering
395 Dreese Lab, 2015 Neil Avenue, Columbus OH 43210
Professor Han-Wei Shen
hwshen@cse.ohio-state.edu (V) 614 292 0060 (F) 614 2922911
