Robust Hausdorff distance

The function modifies the Hausdorff distance to deal with noise and outliers
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Updated 16 Mar 2017

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The original Hausdorff distance (HD) is highly sensitive to outliers and noise. In particular, under these undesirable conditions, HD usually overestimates the distance between pairs of point sets. In this submission, a technique is proposed to overcome the challenge. We have proposed kernels that remove erroneous data while promoting higher accuracy of the HD. To run the codes, you can easily run the files demoMain.m, contained in the parent directory, and demoCompare.m, contained in the directory ../Comparisons (MHD Vs RHD).
A manuscript for this submission has been submitted to the Journal of Pattern Recognition for consideration.

Cite As

Baraka Maiseli (2024). Robust Hausdorff distance (https://www.mathworks.com/matlabcentral/fileexchange/62082-robust-hausdorff-distance), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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RobustHausdorffDistance/

RobustHausdorffDistance/Codes/

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Version Published Release Notes
1.0