DocumentCode :
3173964
Title :
3D Feature Line Detection Based on Vertex Labeling and 2D Skeletonization
Author :
Kudelski, Dimitri ; Mari, Jean-Luc ; Viseur, Sophie
Author_Institution :
LSIS, Univ. Aix-Marseille 2, Marseille, France
fYear :
2010
fDate :
21-23 June 2010
Firstpage :
246
Lastpage :
250
Abstract :
In this paper, we present an approach to extract feature lines on a 3D mesh. The main problem of classical methods is the difficulty to obtain connectivity of resulting lines. In order to sort out this recurrent problem, we propose an algorithm based on the following ideas. The first one is to label candidate points: they characterize the relevant areas corresponding to the expected features. Our second idea is to unfold this binary flagged mesh into a 2D space in order to use well-known morphological operators. By mapping the resulting output back on the mesh, we get relevant and connected feature lines. We then apply this technique to geological data scans to extract fractures and bench limits.
Keywords :
edge detection; feature extraction; mathematical morphology; mathematical operators; mesh generation; 2D skeletonization; 3D feature line detection; 3D mesh; binary flagged mesh; feature line extraction approach; mathematical morphology; morphological operators; vertex labeling; Computer vision; Data mining; Feature extraction; Geology; Geometry; Labeling; Large scale integration; Noise robustness; Shape; Surface morphology; 3D feature lines; geometric modeling; mathematical morphology; meshes; skeletonization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Shape Modeling International Conference (SMI), 2010
Conference_Location :
Aix-en-Provence
Print_ISBN :
978-1-4244-7259-8
Electronic_ISBN :
978-1-4244-7260-4
Type :
conf
DOI :
10.1109/SMI.2010.35
Filename :
5521471
Link To Document :
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