Thursday, November 9
MS10
Surface Reconstruction From Scattered Data
The problem of constructing a surface that interpolates or
approximates data sampled at arbitrary locations arises often in
scientific and engineering applications. The speakers will
address recent solutions to these types of modeling problems and
several recent applications for functions of two or more
variables. Among the topics to be addressed are least squares
approximation of scattered data using radial basis functions,
interpolation and approximation using both local and global
techniques, and smoothing splines with moving least squares
methods to construct a locally defined interpolation method. All
of the talks will be practical and the audience will gain insight
to the problem by observing how these various techniques perform
on real and challenging data sets.
Organizer: Thomas A. Foley
Arizona State University
- 10:00 Recent Advances in Scattered Data Interpolation
- Thomas A. Foley, Arizona State University
- 10:30 Least Squares Multiquadric Approximation: Review and Practical Results
- Richard Franke, Naval Postgraduate School
- 11:00 Local and Global Methods for Scattered Data Approximation
- Morten Daehlen, SINTEF, Norway
- 11:30 Piecewise Thin-Plate Splines
- Kes Salkauskas, University of Calgary, Canada
8/28/95