[IPOL announce] new article: A Contrario 3D Point Alignment Detection Algorithm

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2017/214/

Álvaro Gómez, Gregory Randall, and Rafael Grompone von Gioi,
A Contrario 3D Point Alignment Detection Algorithm,
Image Processing On Line, 7 (2017), pp. 399–417.
https://doi.org/10.5201/ipol.2017.214

Abstract
In this article we present an algorithm for the detection of 
perceptually relevant alignments in 3D point clouds. The algorithm is an 
extension of the algorithm developed by Lezama et al. [J. Lezama, J-M. 
Morel, G. Randall, R. Grompone von Gioi, A Contrario 2D Point Alignment 
Detection, IEEE Transactions on Pattern Analysis and Machine 
Intelligence, 37 (3), pp. 499-512, 2015] for the case of sets of 2D 
points. The algorithm is based on the a contrario detection theory that 
mathematically formalizes the non-accidentalness principle proposed for 
perception: an observed structure is relevant if it rarely occurs by 
chance. This framework has been widely used in different detection tasks 
and leads to algorithms with a single critical parameter to control the 
number of false detections.