Results 131 to 140 of about 2,269,164 (264)
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
europepmc +1 more source
Computing the minimum Hausdorff distance for point sets under translation [PDF]
, 1990 Daniel P. Huttenlocher, Klara Kedem
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Mobile robot localization using the Hausdorff distance
Robotica, 2008 SUMMARYThis paper presents a novel method for localization of mobile robots in structured environments. The estimation of the position and orientation of the robot relies on the minimisation of the partial Hausdorff distance between ladar range measurements and a floor plan image of the building. The approach is employed in combination with an extended
Donoso Aguirre, F. +3 more
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A Contrast‐Agnostic Method for Ultra‐High Resolution Claustrum Segmentation
Human Brain Mapping, Volume 46, Issue 12, 15 August 2025.The claustrum is a still poorly understood structure, with limited neuroimaging tools available for its study. Here we propose a method for automatic claustrum segmentation at ultra‐high resolution (0.35 mm), which can be applied to images of any contrast and resolution. The method is accurate, robust, and achieves excellent generalization.
Chiara Mauri +7 more
wiley +1 more source
Jeffreys’ prior is the Hausdorff measure for the Hellinger and Kullback-Leibler distances [PDF]
, 2000 W. Doster
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Approximating the Directed Hausdorff Distance
The Hausdorff distance is a metric commonly used to compute the set similarity of geometric sets. For sets containing a total of $n$ points, the exact distance can be computed naïvely in $O(n^2)$ time. In this paper, we show how to preprocess point sets individually so that the Hausdorff distance of any pair can then be approximated in linear time ...
Chubet, Oliver A. +3 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
doaj +1 more source
A Gyroscope Signal Denoising Method Based on Empirical Mode Decomposition and Signal Reconstruction
Sensors, 2019 To suppress the random drift error of a gyroscope signal, this paper proposes a novel denoising method, which is based on processing the intrinsic mode functions (IMFs) obtained by empirical mode decomposition (EMD).
Chenchen Liu +4 more
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Geometry of non-Archimedean Gromov-Hausdorff distance [PDF]
P-Adic Numbers, Ultrametric Analysis, and Applications, 2009 49 ...
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