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http://hdl.handle.net/10553/45746
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. | URI: | http://hdl.handle.net/10553/45746 | 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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