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