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  Extraction of feature lines on triangulated surfaces using morphological operators

Rössl, C., Kobbelt, L., & Seidel, H.-P. (2000). Extraction of feature lines on triangulated surfaces using morphological operators. In A. Butz, A. Krüger, & P. Olivier (Eds.), Smart Graphics (AAAI Spring Symposium-00) (pp. 71-75). Menlo Park, USA: AAAI Press.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-34A6-D Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-34A7-B
Genre: Conference Paper

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 Creators:
Rössl, Christian1, Author           
Kobbelt, Leif2, Author
Seidel, Hans-Peter1, Author           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2Max Planck Society, ou_persistent13              

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 Abstract: Triangle meshes are a popular representation of surfaces in computer graphics. Our aim is to detect feature on such surfaces. Feature regions distinguish themselves by high curvature. We are using discrete curvature analysis on triangle meshes to obtain curvature values in every vertex of a mesh. These values are then thresholded resulting in a so called binary feature vector. By adapting morphological operators to triangle meshes, noise and artifacts can be removed from the feature. We introduce an operator that determines the skeleton of the feature region. This skeleton can then be converted into a graph representing the desired feature. Therefore a description of the surface's geometrical characteristics is constructed.

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Language(s): eng - English
 Dates: 2010-03-122000
 Publication Status: Issued
 Pages: -
 Publishing info: Menlo Park, USA : AAAI Press
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 520122
Other: Local-ID: C125675300671F7B-0A6F98EE842F7DC0C1256895005D3936-Roessl1999_EFLTS
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Title: Untitled Event
Place of Event: Stanford, USA
Start-/End Date: 2000

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Title: Smart Graphics (AAAI Spring Symposium-00)
Source Genre: Proceedings
 Creator(s):
Butz, Andreas, Editor
Krüger, Antonio, Editor
Olivier, Patrick, Editor
Affiliations:
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Publ. Info: Menlo Park, USA : AAAI Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 71 - 75 Identifier: ISBN: 1-57735-110-X

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Title: Technical Report / SS / American Association for Artificial Intelligence
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