Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Octrees for faster isosurface generation
ACM Transactions on Graphics (TOG)
Isosurfacing in span space with utmost efficiency (ISSUE)
Proceedings of the 7th conference on Visualization '96
Contour trees and small seed sets for isosurface traversal
SCG '97 Proceedings of the thirteenth annual symposium on Computational geometry
QSplat: a multiresolution point rendering system for large meshes
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
A Near Optimal Isosurface Extraction Algorithm Using the Span Space
IEEE Transactions on Visualization and Computer Graphics
Speeding Up Isosurface Extraction Using Interval Trees
IEEE Transactions on Visualization and Computer Graphics
Iso-Splatting: A Point-Based Alternative to Isosurface Visualization
PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
Dual Marching Cubes: Primal Contouring of Dual Grids
PG '04 Proceedings of the Computer Graphics and Applications, 12th Pacific Conference
Efficient Point-Based Isosurface Exploration Using the Span-Triangle
VIS '04 Proceedings of the conference on Visualization '04
Interactive Point-Based Isosurface Extraction
VIS '04 Proceedings of the conference on Visualization '04
Space Efficient Fast Isosurface Extraction for Large Datasets
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Isosurface extraction using fixed-sized buckets
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
| Hi-index | 0.00 |
The constantly growing size of datasets over the past two decades has put new requirements on the space and time efficiency of isosurface extraction methods. We present a novel approach to fast isosurface extraction, which significantly shortens the preprocessing time and lowers the space requirements. A new computationally inexpensive technique is proposed for transformation of the original volume data into an alternative 1D space. A proper space efficient data structure, built over the transformed data, is used for isosurface extraction. The relative simplicity of the proposed method allows its easy implementation. We demonstrate the low space and time requirements of the proposed approach by a comparison with current state-of-the-art methods applied to real-world datasets.