失真(音乐)
消失点
透视失真
透视图(图形)
镜头(地质)
人工智能
计算机科学
计算机视觉
照相机镜头
职位(财务)
数学
图像(数学)
光学
物理
电信
经济
放大器
带宽(计算)
财务
作者
Daniel Santana-Cedrés,Luis Gómez,Miguel Alemán-Flores,Agustín Salgado,Julio Esclarín,Luis Mazorra,Luis Álvarez
标识
DOI:10.1016/j.cviu.2017.05.016
摘要
Perspective and optical (lens) distortions are aberrations of very different nature that can simultaneously affect an image. Perspective distortion is caused by the position of the camera, especially when it is too close to the scene. Optical distortion is a lens aberration which causes straight lines in the scene to be projected onto the image as distorted lines. Standard methods to correct perspective distortion are based on the estimation of the vanishing points, which can fail if lens distortion is significant. In this paper, we introduce a new method which addresses both problems in a single framework. First we estimate a lens distortion model by extracting a collection of distorted lines in the image. These distorted lines are afterward rectified by means of the lens distortion model and used to estimate the vanishing points. Finally, the vanishing points are used to correct the perspective distortion. We present a variety of experiments to show the reliability of the proposed method.
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