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  Robust Filtering of Noisy Scattered Point Data

Schall, O., Belyaev, A., & Seidel, H.-P. (2005). Robust Filtering of Noisy Scattered Point Data. In IEEE/Eurographics Symposium on Point-Based Graphics (pp. 71-77). Aire-la-Ville, Switzerland: Eurographics Association.

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 Creators:
Schall, Oliver1, Author           
Belyaev, Alexander1, Author           
Seidel, Hans-Peter1, Author           
Pauly, Mark, Editor
Zwicker, Matthias, Editor
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1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: In this paper, we develop a method for robust filtering of a noisy set of points sampled from a smooth surface. The main idea of the method consists of using a kernel density estimation technique for point clustering. Specifically, we use a mean-shift based clustering procedure. With every point of the input data we associate a local likelihood measure capturing the probability that a 3D point is located on the sampled surface. The likelihood measure takes into account the normal directions estimated at the scattered points. Our filtering procedure suppresses noise of different amplitudes and allows for an easy detection of outliers which are then automatically removed by simple thresholding. The remaining set of maximum likelihood points delivers an accurate point-based approximation of the surface. We also show that while some established meshing techniques often fail to reconstruct the surface from original noisy point scattered data, they work well in conjunction with our filtering method.

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Language(s): eng - English
 Dates: 2006-05-182005
 Publication Status: Issued
 Pages: -
 Publishing info: Aire-la-Ville, Switzerland : Eurographics Association
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 278979
Other: Local-ID: C125675300671F7B-12066FE35B2D6EF2C125700C0065CE40-pbg05sbs
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Title: Untitled Event
Place of Event: Stony Brook, New York, USA
Start-/End Date: 2005-06-21

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Title: IEEE/Eurographics Symposium on Point-Based Graphics
Source Genre: Proceedings
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Publ. Info: Aire-la-Ville, Switzerland : Eurographics Association
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 71 - 77 Identifier: -