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

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45378

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44557

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

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

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Zitation

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.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-2F66-1
Zusammenfassung
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.