An Unsupervised Point Alignment Detection Algorithm

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Communicated by Lionel Moisan, Nicolas Limare, Mauricio Delbracio
Demo edited by José Lezama

Abstract

In this article we present an algorithm for the detection of perceptually relevant alignments of points in 2D point patterns. Our algorithm is based on the a contrario detection theory. It requires no parameter tuning and has only one critical parameter, which controls the number of false detections.

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• source code: ZIP SWHID info
  Software Heritage Archive @softwareversion{sw-ipol.2015.126, title = {{An Unsupervised Point Alignment Detection Algorithm}}, author = {José Lezama, Gregory Randall, Jean-Michel Morel, Rafael Grompone von Gioi}, date = {2015-11-17}, license = {AGPL-3.0-or-later}, version = {1.0}, swhid = {swh:1:dir:06d8bf9ab95fb68dae5cad1080376d98a84dfce4;origin=https://doi.org/10.5201/ipol.2015.126;visit=swh:1:snp:a354036f6ef182499c097d0cfd00cf5f1d1ee940;anchor=swh:1:rev:3053a60980cf7154338832a9e33459542a60e393}, related = {ipol.2015.126}, relatedtype = "Reference article: https://doi.org/10.5201/ipol.2015.126" } % the biblatex-software style extension is recommended for software bibitems
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History

• Note from the editor: the manuscript of the article was modified on 2022-01-01 to include information about its editors. The original version of the manuscript is available here.