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  Feature Sensitive Mesh Segmentation with Mean Shift

Yamauchi, H., Lee, S., Lee, Y., Ohtake, Y., Belyaev, A., & Seidel, H.-P. (2005). Feature Sensitive Mesh Segmentation with Mean Shift. In M. Spagnuolo, A. Pasko, & A. Belyaev (Eds.), Shape Modeling International 2005 (pp. 236-243). Los Alamitos, USA: IEEE.

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 Creators:
Yamauchi, Hitoshi1, Author           
Lee, Seungyong1, Author           
Lee, Yunjin1, Author           
Ohtake, Yutaka1, Author           
Belyaev, Alexander1, Author           
Seidel, Hans-Peter1, Author                 
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: Feature sensitive mesh segmentation is important for many
computer graphics and geometric modeling applications. In this
paper, we develop a mesh segmentation method which is capable of
producing high-quality shape partitioning. It respects fine shape
features and works well on various types of shapes, including
natural shapes and mechanical parts.
The method combines a procedure for clustering mesh normals
with a modification of the mesh chartification technique \cite{Sander_sig03}.
For clustering of mesh normals, we adapt Mean Shift,
a powerful general purpose technique for clustering scattered data.
We demonstrate advantages of our method by comparing it with two
state-of-the-art mesh segmentation techniques.

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Language(s): eng - English
 Dates: 2006-04-252005
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 278961
Other: Local-ID: C125675300671F7B-40645AA425C269E4C1256FC60056CA4F-Yamauchi:FSMS:2005
BibTex Citekey: Yamauchi-et-al_SMI05
DOI: 10.1109/SMI.2005.21
 Degree: -

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Title: 2005 International Conference on Shape Modeling and Applications
Place of Event: Cambridge, MA, USA
Start-/End Date: 2005-06-13 - 2005-06-17

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Title: Shape Modeling International 2005
  Abbreviation : SMI 2005
Source Genre: Proceedings
 Creator(s):
Spagnuolo, Michaela1, Editor
Pasko, Alexander1, Editor
Belyaev, Alexander1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Los Alamitos, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 236 - 243 Identifier: ISBN: 0-7695-2379-X