A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A contour-oriented approach to shape analysis
A contour-oriented approach to shape analysis
Artificial Intelligence - Special volume on computer vision
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
State of the art in shape matching
Principles of visual information retrieval
Computer and Robot Vision
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Machine Vision: Theory, Algorithms, Practicalities
Machine Vision: Theory, Algorithms, Practicalities
Pattern Recognition Letters
Control of a service robot using the mexican sign language
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
2D qualitative shape matching applied to ceramic mosaic assembly
Journal of Intelligent Manufacturing
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This paper introduces a novel shape matching approach for the automatic identification of real world objects in complex scenes. The identification process is applied on isolated objects and requires the segmentation of the image into separate objects, followed by the extraction of representative shape features and the similarity estimation of pairs of objects. In order to enable an efficient object representation, a novel boundary-based shape descriptor is introduced, formed by a set of one dimensional signals called shape signatures. During identification, the cross-correlation metric is used in a novel fashion to gauge the degree of similarity between objects. The invariance of the method to uniform-scaling and partial occlusion is achieved by considering both cases as possible scenarios when correlating shape signatures. The proposed vision system is robust to ambient conditions (partial occlusion) and image transformations (scaling, rotation, translation). The performance of the identifier has been examined in a great range of complex image and prototype object selections.