Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generating and generalizing models of visual objects
Artificial Intelligence
Improving dynamic programming to solve image registration
Pattern Recognition
Artificial Intelligence
Shape matching using curvature processes
Computer Vision, Graphics, and Image Processing
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Learning and reasoning by analogy
Communications of the ACM
Automatic Construction of Structural Models Incorporating Discontinuous Transformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching and Retrieval of Distorted and Occluded Shapes Using Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A mean string algorithm to compute the average among a set of 2D shapes
Pattern Recognition Letters
2D Object Recognition on a Reconfigurable Mesh
IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
Polygon Evolution by Vertex Deletion
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
Automatic Hierarchical Classification of Silhouettes of 3D Objects
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Distributed recursive learning for shape recognition through multiscale trees
Image and Vision Computing
A fast evaluation criterion for the recognition of occluded shapes
Robotics and Autonomous Systems
Robust shape-preserving contour tracing with synchronous redundancy pruning
Pattern Recognition Letters
Matching Hierarchies of Deformable Shapes
GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
Rough fuzzy set based scale space transforms and their use in image analysis
International Journal of Approximate Reasoning
Learning from humanoid cartoon designs
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Vision and image processing algorithms
Algorithms and theory of computation handbook
Aligning concave and convex shapes
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Object recognition by recursive learning of multiscale trees
WILF'03 Proceedings of the 5th international conference on Fuzzy Logic and Applications
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A novel approach is proposed for learning a visual model from real shape samples of the same class. The approach can directly acquire a visual model by generalizing the multiscale convex/concave structure of a class of shapes, that is, the approach is based on the concept that shape generalization is shape simplification wherein perceptually relevant features are retained. The simplification does not mean the approximation of shapes but rather the extraction of the optimum scale convex/concave structure common to shape samples of the class. The common structure is obtained by applying the multiscale convex/concave structure-matching method to all shape pairs among given shape samples of the class and by integrating the matching results. The matching method, is applicable to heavily deformed shapes and is effectively implemented with dynamic programming techniques. The approach can acquire a visual model from a few samples without any a priori knowledge of the class. The obtained model is very useful for shape recognition. Results of applying the proposed method are presented.