DocumentCode :
1742811
Title :
Segmentation and surface characterization of arbitrary 3D meshes for object reconstruction and recognition
Author :
Papaioannou, Georgios ; Karabassi, Evaggelia-Aggelilu ; Theoharis, Theoharis
Author_Institution :
Dept. of Inf., Athens Univ., Greece
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
734
Abstract :
Polygonal models are the most common representation of structured 3D data in computer graphics, pattern recognition and machine vision. The method presented here automatically identifies and labels all compact surface regions of a polygonal mesh, visible or not, and extracts valuable invariant features regarding their geometric attributes. A method that is independent of the mesh topology is also presented for the surface bumpiness estimation and the identification of coarse surface regions
Keywords :
computer vision; feature extraction; image reconstruction; image segmentation; mesh generation; object recognition; stereo image processing; 3D meshes; 3D polygonal mesh; feature extraction; image reconstruction; image segmentation; machine vision; object recognition; surface characterization; Character recognition; Computer graphics; Data mining; Image reconstruction; Informatics; Machine vision; Pattern recognition; Surface cracks; Surface reconstruction; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.905491
Filename :
905491
Link To Document :
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