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A new algorithm to correct fish-eye- and strong wide-angle-lens-distortion from single images

机译:一种新的算法,可以从单个图像校正鱼眼和强大的广角镜头失真

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The use of super-wide angle and fish-eye lenses causes strong distortions in the resulting images. A methodology for the correction of distortions in these cases using only single images and linearity of imaged objects is presented. Contrary to most former algorithms, the algorithm discussed here does not depend on information about the real world co-ordinates of matching points. Moreover reference points determination and camera calibration is not required in this case. The algorithm is based on circle fitting. It requires only the possibility of the extraction of distorted image points from straight lines in the 3D scene. Further, the actual distortion must approximately fit the chosen distortion model. For most fish-eye lenses appropriate distortion correction results can be obtained.
机译:使用超宽角度和鱼眼镜片导致所得到的图像中的强烈扭曲。呈现仅使用单个图像和成像对象的线性校正这些情况的扭曲的方法。与大多数以前的算法相反,这里讨论的算法不依赖于有关匹配点的真实世界协调的信息。此外,在这种情况下,不需要参考点确定和相机校准。该算法基于圆形配件。它只需要从3D场景中从直线提取扭曲图像点的可能性。此外,实际失真必须近似适合所选择的失真模型。对于大多数鱼眼镜头,可以获得适当的失真校正结果。

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