On digital approximation of moment invariants
Computer Vision, Graphics, and Image Processing
Modal Matching for Correspondence and Recognition
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
Web-based chinese calligraphy retrieval and learning system
ICWL'05 Proceedings of the 4th international conference on Advances in Web-Based Learning
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An effective and fast shape description and retrieval method is presented for huge image databases. As a shape representation for deformable objects, a multi-scale skeleton representation is proposed in order to preserve the consistency of the skeletons and to reduce the effect of the structural changes. Incorrect matches due to the boundary noise in a segmentation process are avoided by including multiple coarse skeletons of different scales. A fast computational method for the similarity of skeletons is also proposed by using the moment invariants. Experimental results on animal databases showed that the proposed method gives prominent accuracy in retrieval.