Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/72219
Title: Automatic lens distortion correction using one-parameter division models
Authors: Aleman-Flores, Miguel 
Alvarez, Luis 
Gomez, Luis 
Santana-Cedres, Daniel 
UNESCO Clasification: 120601 Construcción de algoritmos
220990 Tratamiento digital. Imágenes
Keywords: Lens distortion
Wide-angle lens
Hough transform
Line detection
Issue Date: 2014
Project: Modelización Matemática de Los Procesos de Calibración de Cámaras de Video. 
Journal: Image Processing On Line 
Abstract: We present a method to automatically correct the radial distortion caused by wide-angle lenses using the distorted lines generated by the projection of 3D straight lines onto the image. Lens distortion is estimated by the division model using one parameter, which allows to state the problem into the Hough transform scheme by adding a distortion parameter to better extract straight lines from the image. This paper describes an algorithm which applies this technique, providing all the details of the design of an improved Hough transform. We perform experiments using calibration patterns and real scenes showing a strong distortion to illustrate the performance of the proposed method.
URI: http://hdl.handle.net/10553/72219
ISSN: 2105-1232
DOI: 10.5201/ipol.2014.106
Source: Image Processing On Line [ISSN 2105-1232], v. 4, p. 327-343, (2014)
Appears in Collections:Artículos
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