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Effective lens distortion correction for 3D range scannig systems

机译:适用于3D范围扫描系统的有效镜头畸变校正

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Nowadays lasers in the measurement industry are widely used. The accuracy of optical rangefinders, which detect a laser line directly from a taken frame, lies in precise laser line detection. By using a lens with a smaller focal length, a barrel distortion can occur. In this paper we would like to introduce an effective method for barrel distortion correction. The algorithm also includes a super-sampling method to prevent line discontinuities especially on image borders, where the influence of distortion effect is significant. The algorithm description also includes substantial speed-up of the whole process by using a correction matrix. A correction matrix is estimated only once for a specific frame dimension and user's parameters. Then the camera correction matrix is used in the mapping process. The paper also includes a time comparison between using a different super-sampling quality and the benefit of using the correction matrix.
机译:如今,激光在测量行业中得到了广泛的应用。直接从拍摄的帧中检测激光线的光学测距仪的准确性在于精确的激光线检测。通过使用焦距较小的镜头,会发生镜筒失真。在本文中,我们想介绍一种有效的桶形失真校正方法。该算法还包括一种超级采样方法,可以防止线条不连续,特别是在图像边界上,因为失真效果的影响很大。该算法描述还包括通过使用校正矩阵来显着提高整个过程的速度。对于特定的帧尺寸和用户参数,仅估计一次校正矩阵。然后,将相机校正矩阵用于映射过程。本文还包括使用不同的超级采样质量与使用校正矩阵的好处之间的时间比较。

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