首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >CAMERA CALIBRATION WITH IRRATIONAL RADIAL DISTORTION MODEL WITH ANALYTICAL SOLUTIONS
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CAMERA CALIBRATION WITH IRRATIONAL RADIAL DISTORTION MODEL WITH ANALYTICAL SOLUTIONS

机译:具有解析解的径向半径畸变模型的相机标定

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Consumer grade digital cameras are widely used in many applications including Photogrammetric mapping and 3D modelling. One common limitation found in such cameras is radial lens distortions. To produce wide angle lenses camera manufacturers reduce the amount of barrel distortion by minimizing both the central and edge distortion profiles, resulting in a mixture of pincushion and barrel distortions for a single lens. These lenses also lack symmetry, making some of the existing distortion models almost ineffective. The mostly used model for radial distortion corrections is the polynomial model which is difficult to solve analytically especially when the model possesses many quadratic terms. Suggestions were made for division models but such models are not suitable when the lens field of view exceeds 180 degrees and exhibit some instabilities when dealing with large magnitude of distortion coefficients. Moreover mathematical formulations of some models cannot handle negative distortion coefficients. Attempts to improve the division models were made with proposals for rational models which present the advantage of handling larger distortion magnitude with fewer terms. However some of these models do not account for all the distortion coefficients in their solutions, limiting the potential of the techniques. This study presents an irrational distortion model with analytical solutions. The proposed model was tested with imagery captured by wide angle lenses and the experimental results reveal that the technique produced the best estimates of radial distortion coefficients. The proposed model was also able to capture image distortions originating from projection errors by the wide angles lenses used in this study.
机译:消费级数码相机广泛用于许多应用中,包括摄影测量映射和3D建模。在这种照相机中发现的一个常见限制是径向镜头畸变。为了生产广角镜头,相机制造商通过最小化中央和边缘变形轮廓来减少镜筒变形量,从而使单个镜头的枕形和镜筒变形混合在一起。这些透镜还缺乏对称性,使得一些现有的畸变模型几乎无效。用于径向畸变校正的最常用模型是多项式模型,该模型难以解析地求解,尤其是当该模型具有许多二次项时。有人提出了分割模型的建议,但这种模型不适用于镜头视场超过180度,并且在处理较大量的失真系数时会表现出一些不稳定性。此外,某些模型的数学公式无法处理负失真系数。试图用有理模型的建议来改进除法模型,这些模型具有用较少的项处理较大的失真大小的优点。但是,这些模型中的某些模型并未解决其解决方案中的所有失真系数,从而限制了该技术的潜力。这项研究提出了具有解析解的非理性失真模型。用广角镜拍摄的图像对提出的模型进行了测试,实验结果表明该技术产生了径向畸变系数的最佳估计值。所提出的模型还能够通过本研究中使用的广角镜头捕获源自投影误差的图像失真。

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