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Title: Wide-angle lens distortion correction using division models
Authors: Alemán-Flores, Miguel 
Alvarez, Luis 
Gomez, Luis 
Santana-Cedreś, Daniel 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
120326 Simulación
Issue Date: 2013
Project: Modelización Matemática de Los Procesos de Calibración de Cámaras de Video. 
Journal: Lecture Notes in Computer Science 
Conference: 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013 
Abstract: In this paper we propose a new method to automatically correct wide-angle lens distortion from the distorted lines generated by the projection on the image of 3D straight lines. We have to deal with two major problems: on the one hand, wide-angle lenses produce a strong distortion, which makes the detection of distorted lines a particularly difficult task. On the other hand, the usual single parameter polynomial lens distortion models is not able to manage such a strong distortion. We propose an extension of the Hough transform by adding a distortion parameter to detect the distorted lines, and division lens distortion models to manage wide-angle lens distortion. We present some experiments on synthetic and real images to show the ability of the proposed approach to automatically correct this type of distortion. A comparison with a state-of-the-art method is also included to show the benefits of our method.
ISBN: 978-3-642-41821-1
ISSN: 0302-9743
DOI: 10.1007/978-3-642-41822-8_52
Source: Ruiz-Shulcloper J., Sanniti di Baja G. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2013. Lecture Notes in Computer Science, vol 8258. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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