An efficient computational algorithm for Hausdorff distance based on points-ruling-out and systematic random sampling

•A novel algorithm for fast and accurate Hausdorff distance computation is proposed.•The strategies of systematic random sampling and points-ruling-out are utilized.•3-D point cloud models and real brain tumor volumes are used for test sets.•Good performance under large-scale, highly overlapping poi...

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Vydané v:	Pattern recognition Ročník 114; s. 107857
Hlavní autori:	Ryu, Jegoon, Kamata, Sei-ichiro
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.06.2021
Predmet:	3-D point sets Computational complexity Hausdorff distance Point matching 3-D point sets Hausdorff distance Point matching Computational complexity
ISSN:	0031-3203, 1873-5142
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