Results 181 to 190 of about 8,805 (204)

Locating objects using the Hausdorff distance

Proceedings of IEEE International Conference on Computer Vision, 2002
The Hausdorff distance is a measure defined between two point sets representing a model and an image. In the past, it has been used to search images for instances of a model that has been translated or translated and scaled by finding transformations that bring a large number of model features close to image features, and vice versa.
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Hausdorff distance and convexity

2017
The goal of this thesis is to discuss the Hausdorff Distance and prove that the metric space SX , which is the set of compact subsets of X = R n with the hausdorff distance is a complete metric space. In the first part, we discuss open r-neighborhoods and convexity.
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Hausdorff vs Gromov–Hausdorff Distances

Discrete & Computational Geometry
Henry Adams, Florian Frick, Sushovan Majhi, Nicholas McBride   +3 more
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Gromov-Hausdorff Distances

2022
Jihoon Lee, Carlos Morales Rojas
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Hausdorff and Gromov–Hausdorff Distance

2008
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Computing the Hausdorff distance between two B-spline curves

CAD Computer Aided Design, 2010
Weiyin Ma, Xiao-Diao Chen, Gang Xu
exaly  

Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance

Pattern Recognition Letters, 2004
Miin-Shen Yang
exaly  

Hausdorff Distance

1990
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3-D Object Retrieval With Hausdorff Distance Learning

IEEE Transactions on Industrial Electronics, 2014
Qionghai Dai, Rongrong Ji, Meng Wang
exaly  

Computing the minimum Hausdorff distance between two point sets on a line under translation

Information Processing Letters, 1991
Gunter Rote
exaly