Interpolation of data on the surface of a sphere
ACM Transactions on Mathematical Software (TOMS)
Interpolation over a sphere based upon a minimum norm network
Computer Aided Geometric Design - Special issue: Topics in CAGD
Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Display of Surfaces from Volume Data
IEEE Computer Graphics and Applications
Interpolation of scattered data on closed surfaces
Computer Aided Geometric Design
Modified multiquadric methods for scattered data interpolation over a sphere
Computer Aided Geometric Design
Computer Aided Geometric Design
A survey of applications of an affine invariant norm
Mathematical methods in computer aided geometric design
Algorithm 660: QSHEP2D: Quadratic Shepard Method for Bivariate Interpolation of Scattered Data
ACM Transactions on Mathematical Software (TOMS)
A rendering algorithm for visualizing 3D scalar fields
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
V-buffer: visible volume rendering
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
IEEE Computer Graphics and Applications
Techniques for the interactive visualization of volumetric data
VIS '90 Proceedings of the 1st conference on Visualization '90
Visualizing and Modeling Scattered Multivariate Data
IEEE Computer Graphics and Applications
Scattered Data Techniques for Surfaces
Dagstuhl '97, Scientific Visualization
Techniques for the interactive visualization of volumetric data
VIS '90 Proceedings of the 1st conference on Visualization '90
Multi-valued volumetric visualization
VIS '91 Proceedings of the 2nd conference on Visualization '91
Adaptive sampling and modeling of analog circuit performance parameters with pseudo-cubic splines
Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design
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Scientific data is often sampled at irregular spatial locations because of physical constraints, yet most visualization software applies only to gridded or regular data. We will discuss effective techniques for representing scalar and vector valued functions that interpolate to irregularly located data. Special attention will be given to the situations where the sampling domain is a 2D plane, a 3D volume, or a closed 3D surface. The globally defined interpolants can be evaluated on a fine regular grid and they can then be visualized using conventional techniques. Triangular and tetrahedral based visualization techniques are also presented.