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