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  Feature-preserving Non-local Denoising of Static and Time-varying Range Data

Schall, O., Belyaev, A., & Seidel, H.-P. (2007). Feature-preserving Non-local Denoising of Static and Time-varying Range Data. In S. Spencer (Ed.), Proceedings SPM 2007: ACM Symposium on Solid and Physical Modeling (pp. 217-222). New York, NY, USA: ACM.

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NL-Denoising.pdf (Publisher version), 5KB
 
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 Creators:
Schall, Oliver1, Author           
Belyaev, Alexander1, Author           
Seidel, Hans-Peter1, Author           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: We present a new method for noise removal on static and time-varying range data. Our approach predicts the restored position of a perturbed vertex using similar vertices in its neighborhood. It defines the required similarity measure in a new non-local fashion which compares regions of the surface instead of point pairs. This allows our algorithm to obtain a more accurate denoising result than previous state-of-the-art approaches and, at the same time, to better preserve fine features of the surface. Furthermore, our approach is easy to implement, effective, and flexibly applicable to different types of scanned data. We demonstrate this on several static and interesting new time-varying datasets obtained using laser and structured light scanners.

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Language(s): eng - English
 Dates: 2008-03-172007
 Publication Status: Issued
 Pages: -
 Publishing info: New York, NY, USA : ACM
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 356594
DOI: 10.1145/1236246.1236277
Other: Local-ID: C12573CC004A8E26-A3335C721A80A788C1257298003CDDAD-spm07sbs
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Title: Untitled Event
Place of Event: Beijing, China
Start-/End Date: 2007-06-04 - 2007-06-06

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Title: Proceedings SPM 2007 : ACM Symposium on Solid and Physical Modeling
Source Genre: Proceedings
 Creator(s):
Spencer, Stephen, Editor
Affiliations:
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Publ. Info: New York, NY, USA : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 217 - 222 Identifier: ISBN: 978-1-59593-666-0