[IPOL announce] new article: A Contrario 3D Point Alignment Detection Algorithm
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Sat Dec 30 00:37:20 CET 2017
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.
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