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A new method for linear camera calibration and nonlinear distortion correction

机译:线性摄像机标定和非线性畸变校正的新方法

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Recent progress of images taken by non-metric digital cameras encourages amateurs to utilize it for 3D measurements, but also introduces the difficulties of calibration. The ideal camera projection model is based on the pinhole linear model which proceeds on the assumption that the object point, the perspective center of the lens and the ideal image point all lie on a straight line. However, real camera lenses introduce nonlinear distortions that affect the accuracy of the transformation unless proper corrections are applied. In this paper ,we present a new camera calibration method adopting a linear projection model and a nonlinear lens distortion model. Experiments are conducted on real data to compare the proposed method with the non-linear bundle adjustment and DLT (Direct Linear Translation), which shows that the accuracy obtained with the proposed method is close to the former, and much higher than the latter.
机译:非度量数码相机拍摄的图像的最新进展鼓励业余爱好者将其用于3D测量,但同时也带来了校准的困难。理想的相机投影模型基于针孔线性模型,该模型在假设物点,镜头的透视中心和理想像点都位于一条直线上的情况下进行。但是,除非应用适当的校正,否则真实的相机镜头会引入非线性失真,这些失真会影响变换的准确性。本文提出了一种采用线性投影模型和非线性镜头畸变模型的新型摄像机标定方法。对真实数据进行了实验,比较了所提出的方法与非线性束调整和DLT(直接线性平移)的准确性,表明所提出的方法与前者相近,但精度更高。

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