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Tutorial
2: Procedural Encoding of Scattered Data, Theory and Applications
Organizer: Kelly Gaither, The University of Texas at Austin, Texas Advanced Computing Center
Speakers: Greg Nielson, Arizona State University; Hans Hagen, University of Kaiserslautern; David Ebert, Purdue University
Procedural encoding of scattered data sets is an active area of research
with great potential for reconstructing surface information and compactly
representing large data. The reduced storage requirements allow greater
flexibility in the methods for manipulating and analyzing this data
interactively. In this course, we will cover both the mathematical
foundations behind existing encoding techniques, surface reconstruction
methods, and volumetric representations. Additionally, we will present
methods for feature analysis in the functional domain and conclude with
applications and benefits of functional encoding in the scientific and
engineering disciplines.
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