Multidimensional co-occurrence matrices for object recognition and matching
Graphical Models and Image Processing
Partial shape matching using genetic algorithms
Pattern Recognition Letters
Object Identification with Surface Signatures
CAIP '97 Proceedings of the 7th International Conference on Computer Analysis of Images and Patterns
3D Object Recognition from Color Intensity Images
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
| Hi-index | 0.00 |
Object identification by matching is a central problem in computer vision. A major problem that any object matching method must address is the ability to correctly match an object to its model when parts of the object is missing due to occlusion, shadows, ... etc. In this paper we introduce boundary signatures as an extension to our surface signature formulation. Boundary signatures are surface feature vectors that reflect the probability of occurrence of a feature of a surface boundary. We introduce four types of surface boundary signatures that are constructed based on local and global geometric shape attributes of the boundary. Tests conducted on incomplete object shapes have shown that the Distance Boundary Signature produced excellent results when the object retains at least 70% of its original shape.