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Feature-preserving non-local denoising of static and 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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MPI-I-2006-4-007.pdf
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Citation

Schall, O., Belyaev, A., & Seidel, H.-P.(2006). Feature-preserving non-local denoising of static and time-varying range data (MPI-I-2006-4-007). Saarbrücken: Max-Planck-Institut für Informatik.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-673D-7
Abstract
We present a novel algorithm for accurately denoising static and time-varying range data. Our approach is inspired by similarity-based non-local image filtering. We show that our proposed method is easy to implement and outperforms recent state-of-the-art filtering approaches. Furthermore, it preserves fine shape features and produces an accurate smoothing result in the spatial and along the time domain.