An Unsupervised Point Alignment Detection Algorithm
José Lezama, Gregory Randall, Jean-Michel Morel, Rafael Grompone von Gioi
→ BibTeX
@article{ipol.2015.126,
    title   = {{An Unsupervised Point Alignment Detection Algorithm}},
    author  = {Lezama, José and Randall, Gregory and Morel, Jean-Michel and Grompone von Gioi, Rafael},
    journal = {{Image Processing On Line}},
    volume  = {5},
    pages   = {296--310},
    year    = {2015},
    doi     = {10.5201/ipol.2015.126},
}
% if your bibliography style doesn't support doi fields:
    note    = {\url{https://doi.org/10.5201/ipol.2015.126}}
published
2015-12-15
reference
José Lezama, Gregory Randall, Jean-Michel Morel, and Rafael Grompone von Gioi, An Unsupervised Point Alignment Detection Algorithm, Image Processing On Line, 5 (2015), pp. 296–310. https://doi.org/10.5201/ipol.2015.126

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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