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Segmentation and Surface Characterization of Arbitrary 3D Meshes for Object Reconstruction and Recognition
Barcelona, Spain September 03-September 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.90549115th International Conference on Patt ...
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Georgios Papaioannou, University of Athens
Evaggelia-Aggeliki Karabassi, University of Athens
Theoharis Theoharis, University of Athens
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.
Citation:
Georgios Papaioannou, Evaggelia-Aggeliki Karabassi, Theoharis Theoharis, "Segmentation and Surface Characterization of Arbitrary 3D Meshes for Object Reconstruction and Recognition," icpr, vol. 1, pp.1734, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 1, 2000
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