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