Proceedings ArticleDOI
A modified Hausdorff distance for object matching
M.-P. Dubuisson,Anil K. Jain +1 more
- Vol. 1, pp 566-568
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TLDR
Based on experiments on synthetic images containing various levels of noise, the authors determined that one of these distance measures, called the modified Hausdorff distance (MHD) has the best performance for object matching.Abstract:
The purpose of object matching is to decide the similarity between two objects. This paper introduces 24 possible distance measures based on the Hausdorff distance between two point sets. These measures can be used to match two sets of edge points extracted from any two objects. Based on experiments on synthetic images containing various levels of noise, the authors determined that one of these distance measures, called the modified Hausdorff distance (MHD) has the best performance for object matching. The advantages of MHD ever other distances are also demonstrated on several edge snaps of objects extracted from real images.read more
Citations
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On visual distances for spectrum-type functional data
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DissertationDOI
Mathematical Imaging Tools in Cancer Research - From Mitosis Analysis to Sparse Regularisation
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Spatiotemporal Registration of 3-D Multi-perspective Ultrasound Images of Abdominal Aortic Aneurysms.
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Book ChapterDOI
A Robust Line-Feature-Based Hausdorff Distance for Shape Matching
TL;DR: A robust line-feature-based approach for model-based recognition is proposed, which can achieve a good performance level in matching, even in a noisy environment or with the existence of occlusion.
References
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Journal ArticleDOI
Comparing images using the Hausdorff distance
TL;DR: Efficient algorithms for computing the Hausdorff distance between all possible relative positions of a binary image and a model are presented and it is shown that the method extends naturally to the problem of comparing a portion of a model against an image.
Proceedings ArticleDOI
2D matching of 3D moving objects in color outdoor scenes
Dubuisson,Jain +1 more
TL;DR: An object matching system which is able to extract objects of interest from outdoor scenes and match them to obtain a reliable estimate of the average travel time in a road network is described.