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3D Shape Representation Using Gaussian Curvature Co-occurrence Matrix.

Authors :
Guo, Kehua
Source :
Artificial Intelligence & Computational Intelligence (9783642165290); 2010, p373-380, 8p
Publication Year :
2010

Abstract

Co-occurrence matrix is traditionally used for the representation of texture information. In this paper, the co-occurrence matrix is combined with Gaussian curvature for 3D shape representation and a novel 3D shape description approach named Gaussian curvature co-occurrence matrix is proposed. Normalization process to Gaussian curvature co-occurrence matrix and the invariants independence of the translation, scaling and rotation transforms are demonstrated. Experiments indicate a better classification rate and running complexity to objects with slight different shape characteristic compared with traditional methods. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783642165290
Database :
Complementary Index
Journal :
Artificial Intelligence & Computational Intelligence (9783642165290)
Publication Type :
Book
Accession number :
76774592
Full Text :
https://doi.org/10.1007/978-3-642-16530-6_44