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Feature-preserving Denoising of Time-varying Range Data

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45372

Schall,  Oliver
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44112

Belyaev,  Alexander
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

Schall, O., Belyaev, A., & Seidel, H.-P. (2006). Feature-preserving Denoising of Time-varying Range Data. In SIGGRAPH 2006 Sketches and Applications. New York, NY, USA: ACM.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-22D1-6
Zusammenfassung
We present a technique for accurate denoising of time-varying range data. It is inspired by the idea of similarity-based non-local image filtering and spatio-temporal bilateral filtering for video processing. We build upon both ideas and are to our knowledge the first method which extends them to time-varying geometric data. Our proposed algorithm is easy to implement, preserves fine shape features and produces an accurate and homogeneous smoothing result in the spatial and along the time domains.