[IPOL discuss] [IPOL announce] new article: An Unsupervised Point Alignment Detection Algorithm

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2015/126/

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. http://dx.doi.org/10.5201/ipol.2015.126

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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