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  Recovering Structural Information from Triangulated Surfaces

Rössl, C., Kobbelt, L., & Seidel, H.-P. (2001). Recovering Structural Information from Triangulated Surfaces. In T. Lyche, & L. L. Schumaker (Eds.), Mathematical Methods for Curves and Surfaces: Oslo 2000 (pp. 423-432). Nashville, USA: Vanderbilt University.

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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: We present a technique for recovering structural information from triangular meshes that can then be used for segmentation, e.g. in reverse engineering applications. In a preprocessing step, we detect feature regions on the surface by classifying the vertices according to some discrete curvature measure. Then we apply a skeletonization algorithm for extracting feature lines from these regions. To achieve this, we generalize the concept of morphological operators to unorganized triangle meshes, providing techniques for noise reduction on the binary feature classification and for skeletonization. The necessary operations are easy to implement, robust, and can be executed efficiently on a mesh data structure.

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Language(s): eng - English
 Dates: 2010-03-122001
 Publication Status: Issued
 Pages: -
 Publishing info: Nashville, USA : Vanderbilt University
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 520221
Other: Local-ID: C125675300671F7B-FC412548BD01A02BC1256A9600458C57-Roessl2000_RSITS
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Title: Untitled Event
Place of Event: Oslo, Norway
Start-/End Date: 2001

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Title: Mathematical Methods for Curves and Surfaces: Oslo 2000
Source Genre: Proceedings
 Creator(s):
Lyche, Tom, Editor
Schumaker, Larry L., Editor
Affiliations:
-
Publ. Info: Nashville, USA : Vanderbilt University
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 423 - 432 Identifier: ISBN: 0-8265-1378-6