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Extraction of feature lines on triangulated surfaces using morphological operators

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45303

Rössl,  Christian
Computer Graphics, MPI for Informatics, Max Planck Society;

Kobbelt,  Leif
Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

Seidel,  Hans-Peter
Computer Graphics, MPI for Informatics, Max Planck Society;

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Zitation

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.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-34A6-D
Zusammenfassung
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.