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EFFECTIVE IMPLEMENTATION OF FISHEYE LENS CALIBRATION BASED ON GEOMETRIC PROJECTION MODEL

机译:基于几何投影模型的鱼眼镜头标定的有效实现

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Due to ultra wide-angle characteristics, fisheye lenses are widely used in artistic photography, surveillance application, forest science, self-driving obstacle avoidance, etc. Some applications that need to collect panoramic geo-information are especially suitable for using this kind of cameras. However, the imaging distortion of the fisheye image is significant, so the validity of fisheye lens calibration would largely depend on the correctness of geometric modelling between the image points and the object points. Since the fisheye lens has its own specific type of imaging formation, using collinearity equation attached by additional lens distortion parameters cannot set up a sufficient model. To achieve the relevant requirements of the metric measurement, this study adopts the rigorous object-image corresponding model to include geometric projection model for fisheye lens calibration. The discrepancy between the ideal image point and the actual image point is treated as the effect of lens distortion and modeled by additional parameters. This study verifies the validity of the employed fisheye lens calibration model by quantitatively assessing the calibration results. In addition, operational conditions and strategies that support effective and accurate fisheye lens calibration tasks are also analyzed and suggested.
机译:鱼眼镜头具有超广角特性,因此广泛用于艺术摄影,监视应用,森林科学,自动驾驶避障等。某些需要收集全景地理信息的应用特别适合使用此类相机。但是,鱼眼镜头图像的成像畸变很大,因此鱼眼镜头校准的有效性很大程度上取决于像点和物点之间的几何建模的正确性。由于鱼眼镜头具有其特定的成像类型,因此使用附加的镜头畸变参数附加的共线性方程无法建立足够的模型。为了达到度量标准的相关要求,本研究采用严格的物像对应模型,包括用于鱼眼镜头校准的几何投影模型。理想像点和实际像点之间的差异被视为镜头畸变的影响,并通过附加参数进行建模。本研究通过定量评估校准结果来验证所用鱼眼镜头校准模型的有效性。此外,还分析和建议了支持有效和准确的鱼眼镜头校准任务的操作条件和策略。

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