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Conference Paper

Feature-preserving Denoising of Time-varying Range Data

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

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Belyaev,  Alexander
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

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.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-22D1-6
Abstract
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.