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https://hdl.handle.net/20.500.12008/10968
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Title: | A contrario 3D point alignment detection algorithm |
Authors: | Gómez, Álvaro Randall, Gregory Grompone von Gioi, Rafael |
Type: | Artículo |
Keywords: | Point alignment detection, 3D point alignments, A contrario method, Gestalt theory |
Issue Date: | 2017 |
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. |
IN: | IPOL Journal - Image Processing On Line, 2017, vol. 7, pp. 399–417 |
Citation: | Gómez, Á, Randall, G y Grompone von Gioi, R. "A contrario 3D point alignment detection algorithm". IPOL Journal - Image Processing On Line. [en línea] 2017 2017, vol. 7, pp. 399–417. |
ISSN: | 2105–1232 |
Academic department: | Procesamiento de Señales |
Investigation group: | Tratamiento de Imágenes |
License: | Licencia Creative Commons Atribución – No Comercial – Compartir Igual (CC –BY-NC-SA 4.0) |
Appears in Collections: | Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica |
This item is licensed under a Creative Commons License