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  Smoothing by Example: Mesh Denoising by Averaging with Similarity-based Weights

Yoshizawa, S., Belyaev, A., & Seidel, H.-P. (2006). Smoothing by Example: Mesh Denoising by Averaging with Similarity-based Weights. In IEEE International Conference on Shape Modeling and Applications 2006 (SMI 2006) (pp. 38-44). California, USA: IEEE.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-23F4-E Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-23F5-C
Genre: Conference Paper

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 Creators:
Yoshizawa, Shin1, Author           
Belyaev, Alexander1, Author           
Seidel, Hans-Peter1, Author           
Spagnuolo, M., Editor
Belyaev, A.1, Editor           
Suzuki, H., Editor
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: In this paper, we propose a new and powerful mesh/soup denoising technique. Our approach is inspired by recent non-local image denoising schemes and naturally extends bilateral mesh smoothing methods. The main idea behind the approach is very simple. A new position of vertex $P$ of a noisy mesh is obtained as a weighted mean of mesh vertices $Q$ with nonlinear weights reflecting a similarity between local neighborhoods of $P$ and $Q$. We demonstrated that our technique outperforms recent state-of-the-art smoothing methods. We also suggest a new approach for comparing different mesh/soup denoising methods.

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Language(s): eng - English
 Dates: 2007-04-262006
 Publication Status: Issued
 Pages: -
 Publishing info: California, USA : IEEE
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 314655
Other: Local-ID: C125675300671F7B-F4156CE7A4D6BFE1C125712E002DB493-YoshizawaSMI2006
 Degree: -

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Title: Untitled Event
Place of Event: Matsushima, JAPAN
Start-/End Date: 2006-06-14

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Title: IEEE International Conference on Shape Modeling and Applications 2006 (SMI 2006)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: California, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 38 - 44 Identifier: ISBN: 0-7695-2591-1