Shape measures for content based image retrieval: a comparison
Information Processing and Management: an International Journal
Shock Graphs and Shape Matching
International Journal of Computer Vision
Computer and Robot Vision
Recognition of Shapes by Editing Their Shock Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal Inference for Hierarchical Skeleton Abstraction
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
A skeletal measure of 2D shape similarity
Computer Vision and Image Understanding
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This article presents a skeleton-based shape description scheme called a skeleton tree. A skeleton tree represents an object shape as a hierarchical structure where high-level nodes describe parts of coarse trunk of the object and low-level nodes describe fine details. Each node refines the shape of its parent node. Most of the noise disturbances are limited to bottom level nodes. The similarity of two shapes is measured by considering the best match of a skeleton tree to a subtree of another skeleton tree. This partial matching is particularly useful when the shape of an animated object is deformed and also when a part of an object is occluded. Several experimental results are presented demonstrating the validity of our scheme for the shape description and indexing.