An Unsupervised Point Alignment Detection Algorithm

被引：3
|
作者：
Lezama, Jose [1 ]
Randall, Gregory [2 ]
Morel, Jean-Michel [1 ]
von Gioi, Rafael Grompone [1 ]
机构：
[1] ENS Cachan, CMLA, Cachan, France
[2] Univ Republica, IIE, Montevideo, Uruguay
来源：
IMAGE PROCESSING ON LINE | 2015年 / 5卷
基金：
欧洲研究理事会;
关键词：
A contrario; clustering; point alignments; Gestalt theory;
D O I：
10.5201/ipol.2015.126
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：296 / 310
页数：15
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