Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Getting around a lower bound for the minimum Hausdorff distance
Computational Geometry: Theory and Applications
A modified Hausdorff distance between fuzzy sets
Information Sciences: an International Journal
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rotation-invariant pattern matching using wavelet decomposition
Pattern Recognition Letters
FPGA-Based Template Matching Using Distance Transforms
FCCM '02 Proceedings of the 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Parametric correspondence and chamfer matching: two new techniques for image matching
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Vehicle counting without background modeling
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
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Image matching is an important task. There are many available methods for occluded image matching, e.g. Hausdorff distance, Distance Transformi and wavelet decomposition based methods. We proposed Modified Chamfer Matching Algorithm (MCMA) [16], a new simple distance transform based image matching algorithm. Here we propose few more matching measures and compare them. Basic concepts relating to distance transform are also explained. Examples to demonstrate the algorithm and necessary results are also included.