Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Isosurfacing in span space with utmost efficiency (ISSUE)
Proceedings of the 7th conference on Visualization '96
Application-controlled demand paging for out-of-core visualization
VIS '97 Proceedings of the 8th conference on Visualization '97
I/O optimal isosurface extraction (extended abstract)
VIS '97 Proceedings of the 8th conference on Visualization '97
Vortex identification—applications in aerodynamics: a case study
VIS '97 Proceedings of the 8th conference on Visualization '97
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
Automatic detection of open and closed separation and attachment lines
Proceedings of the conference on Visualization '98
I/O-efficient algorithms for contour-line extraction and planar graph blocking
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Parallel accelerated isocontouring for out-of-core visualization
PVGS '99 Proceedings of the 1999 IEEE symposium on Parallel visualization and graphics
A multi-threaded streaming pipeline architecture for large structured data sets
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Scalable isosurface visualization of massive datasets on COTS clusters
PVG '01 Proceedings of the IEEE 2001 symposium on parallel and large-data visualization and graphics
Speeding Up Isosurface Extraction Using Interval Trees
IEEE Transactions on Visualization and Computer Graphics
Out-of-Core Streamline Visualization on Large Unstructured Meshes
IEEE Transactions on Visualization and Computer Graphics
Large-Scale Data Visualization Using Parallel Data Streaming
IEEE Computer Graphics and Applications
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In this paper we propose a method to estimate the number of primitives that are extracted from an iso-surface extraction procedure. A decimated version of the data is used to estimate the number of triangles at the finest resolution through a combinatorial audit of the features (iso-contours) and their changes across resolutions. The estimates allow for the efficient implementation of visualization pipelines across a spectrum of hardware platforms. We demonstrate the efficacy of our methods through suitable experiments with The Visible Woman dataset.