A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing Algorithms and Applications
Digital Image Processing Algorithms and Applications
Using shape distributions to compare solid models
Proceedings of the seventh ACM symposium on Solid modeling and applications
ACM Transactions on Graphics (TOG)
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Efficient Active Contour Model Through Curvature Scale Space Filtering
Multimedia Tools and Applications
A Shape Representation for Planar Curves by Shape Signature Harmonic Embedding
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fourier Descriptors for Plane Closed Curves
IEEE Transactions on Computers
CAD/Graphics 2013: Sketch2Jewelry: Semantic feature modeling for sketch-based jewelry design
Computers and Graphics
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In this paper a novel cross correlation technique is proposed for shape matching between two similar objects. The proposed technique can not only evaluate the similarity between any two objects, but also has two distinct advantages compared to previous work: (1) the deformed articulated objects such as human being with different poses, can be matched very well; (2) the local feature extraction and correspondence can be established at the same time. The basic tool we used is the shape profile driven from the curvature map of the object profile. The cross correlation technique is applied to the shape profile of the two objects to evaluate their similarity. Filtering scheme is used to enhance the quality of both shape matching and extracted features. The invariant property, the robustness and the efficiency of the shape profile in shape matching and feature extraction are discussed.