IEEE Conference on Computer Vision and Pattern Recognition (Miami, FL, USA, June 2009), pp. Byrod, "Pose estimation with radial distortion and unknown focal length," in Proc. IEEE Conference on Computer Vision and Pattern Recognition (Anchorage, AK, USA, June 2008), pp. Josephson, "Fast and robust numerical solutions to minimal problems for cameras with radial distortion," in Proc. IEEE Conference on Computer Vision and Pattern Recognition (San Diego, USA, June 2005), pp. Fitzgibbon, "A rational function lens distortion model for general cameras," in Proc. Rafael, “An algebraic approach to lens distortion by line rectification,” Journal of Mathematical Imaging and Vision 35, 36-50 (2009).ĭ. IEEE Conference on Computer Vision and Pattern Recognition (Portland, Oregon, USA, June 2013), pp. Roland, "Radial distortion self-calibration," in Proc. Wang, “Novel calibration method for the multi-camera measurement system,” J. Zhang, “A flexible new technique for camera calibration,” IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 1330-1334 (2000). Tsai, “A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses,” IEEE Journal of Robotics and Automation 3, 323-344 (1987). Experimental results of different zoom lens cameras validate the feasibility and effectiveness of the proposed method. Using the proposed method, we can rectify all images from the calibrated zoom lens camera. Based on some selected zoom settings, the optimized quadratic functions of distortion parameters are obtained from the global perspective. To gain a rectified image at any zoom settings, a global distortion correction modeling method is developed with bundle adjustment. Then, the appropriate distortion correction model for a zoom lens camera is derived from the comparisons of some existing models and methods. In this paper, a distortion assessment method without coupling effect is depicted by an elaborated chessboard pattern. Thus, a novel sequential distortion correction method for a zoom lens camera is proposed in this study. However, the challenges of distortion prediction within the whole focal range limit the widespread application of zoom lens cameras greatly. For visual measurement under dynamic scenarios, a zoom lens camera is more flexible than a fixed one.
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