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Development, comparison and evaluation of software for radial distortion elimination

机译:消除径向畸变的软件的开发,比较和评估

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Lately the interest of Computer Vision and Photogrammetry community has been focused on the automation of the processes of identification and elimination of the radial distortion, with the aim to correct the image coordinates and finally to obtain digital images with reliable geometric information. This effort has reached the point of development of commercial or free image processing software, claiming that it can automatically identify and remove the radial distortion from an image. In this paper in depth research has been conducted about the radial distortion and the methods of its identification and elimination. Specifically, it has been attempted to evaluate software as the aforementioned, about its effectiveness, accuracy and applicability on the elimination of the radial distortion from images. For the attainment of the desired aim, four different methods of comparison and evaluation of the performance of the software, with respect to the correction of an image, have been employed. The applied methods are (ⅰ) the optical evaluation of the produced digital images, (ⅱ) the subtraction of the images, (ⅲ) the comparison of the curves of the remaining radial distortion in the images and (ⅳ) the comparison of the results from the orientation of an image pair. However, it was really important to have a benchmark for the evaluation, in order to ensure the objectivity and accuracy of the comparison. Therefore, a new reliable algorithm has been developed, which was of known and controllable accuracy. The results of these comparisons are presented and evaluated for their reliability and usefulness.
机译:最近,计算机视觉和摄影测量界的兴趣集中在识别和消除径向变形的过程的自动化上,目的是校正图像坐标并最终获得具有可靠几何信息的数字图像。这项工作已达到商业或免费图像处理软件的开发点,声称它可以自动识别图像并消除图像的径向变形。在本文中,已经对径向变形及其识别和消除方法进行了深入研究。具体地,已经尝试如上所述评估软件在消除图像的径向失真方面的有效性,准确性和适用性。为了达到期望的目的,已经采用了四种不同的关于图像校正的比较和评估软件性能的方法。应用的方法是(ⅰ)对生成的数字图像进行光学评估,(ⅱ)图像相减,(ⅲ)比较图像中剩余径向变形的曲线和(ⅳ)比较结果从图像对的方向来看。但是,为确保评估的客观性和准确性,拥有评估基准非常重要。因此,已经开发了一种新的可靠算法,该算法具有已知且可控制的精度。提出并比较了这些比较的结果的可靠性和有用性。

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