Some Properties of Gromov–Hausdorff Distances [PDF]
Discrete & Computational Geometry, 2012 The Gromov–Hausdorff distance between metric spaces appears to be a useful tool for modeling some object matching procedures. Since its conception it has been mainly used by pure mathematicians who are interested in the topology generated by this distance, and quantitative consequences of the definition are not very common.
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Automated detection system of metro tunnel lining crack using dynamic snake convolution
Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 26, Page 4521-4542, 7 November 2025.Abstract Inspecting defects in tunnel linings is a crucial part of tunnel maintenance work. Traditional tunnel inspection methods are generally inefficient, making it difficult to complete intensive inspection tasks and provide detailed characteristic data of cracks within the limited maintenance time. In this research, a deep learning–driven automatic
Zhutian Pan +7 more
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An Improved Automatic Algorithm for Global Eddy Tracking Using Satellite Altimeter Data
Remote Sensing, 2017 In this paper, we propose a new hybrid mesoscale eddy tracking method to enhance the eddy tracking accuracy from global satellite altimeter data. This method integrates both physical and geometric eddy properties (including the distance between eddies ...
Miao Sun +3 more
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IH-TCGAN: Time-Series Conditional Generative Adversarial Network with Improved Hausdorff Distance for Synthesizing Intention Recognition Data. [PDF]
Entropy (Basel), 2023 Wang S, Wang G, Fu Q, Song Y, Liu J.
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Hausdorff Distance and a Compactness Criterion for Continuous Functions [PDF]
, 1986 Gerald Beer
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COMPUTING THE HAUSDORFF DISTANCE BETWEEN CURVED OBJECTS
International Journal of Computational Geometry & Applications, 2008 The Hausdorff distance between two sets of curves is a measure for the similarity of these objects and therefore an interesting feature in shape recognition. If the curves are algebraic computing the Hausdorff distance involves computing the intersection points of the Voronoi edges of the one set with the curves in the other.
Alt, Helmut, Scharf, Ludmila
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Advances in Radiation OncologyPurpose: The use of deep learning to auto-contour organs at risk (OARs) in gynecologic radiation treatment is well established. Yet, there is limited data investigating the prospective use of auto-contouring in clinical practice. In this study, we assess
Abigayle C. Kraus, MD +10 more
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3D Segmentation for Multi-Organs in CT Images
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2013 The study addresses the challenging problem of automatic segmentation of the human anatomy needed for radiation dose calculations. Three-dimensional extensions of two well-known state-of-the art segmentation techniques are proposed and tested for ...
Mariusz Bajger, Gobert Lee, Martin Caon
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Correction: On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking. [PDF]
Eur Radiol Exp, 2022 Aydin OU +7 more
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Computing the minimum Hausdorff distance for point sets under translation [PDF]
, 1990 Daniel P. Huttenlocher, Klara Kedem
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