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Conference Paper

Efficient Fitting and Rendering of Large Scattered Data Sets Using Subdivision Surfaces

MPS-Authors
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Scheib,  Vincent
Computer Graphics, MPI for Informatics, Max Planck Society;

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Haber,  Jörg
Computer Graphics, MPI for Informatics, Max Planck Society;

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Seidel,  Hans-Peter       
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

Scheib, V., Haber, J., Lin, M. C., & Seidel, H.-P. (2002). Efficient Fitting and Rendering of Large Scattered Data Sets Using Subdivision Surfaces. In EUROGRAPHICS 2002 (pp. 353-362). Oxford, UK: Blackwell.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-2F66-1
Abstract
We present a method to efficiently construct and render a smooth
surface for approximation of large functional scattered data. Using
a subdivision surface framework and techniques from terrain rendering, the
resulting surface can be explored from any viewpoint while
maintaining high surface fairness and interactive frame rates. We
show the approximation error to be sufficiently small for several
large data sets. Our system allows for adaptive simplification and
provides continuous levels of detail, taking into account the local
variation and distribution of the data.