An Optimized Adaptive Camera Calibration Algorithm
Abstract
Camera calibration is a basic problem in computer vision. An optimized adaptive camera calibration method is proposed in this paper, which can efficiently and precisely calibrate cameras. Our calibration method is easy-to-use by using only one calibration board. In our method, we do lens distortion rectification and camera intrinsic and extrinsic parameters estimation separately, which increase the precision of lens distortion rectification. Meanwhile, dimensions are reduced in nonlinear optimization of camera parameters. By means of alternatively optimize camera’s intrinsic and extrinsic parameter in nonlinear optimization, our method reduces the calibration error by at most 63.14% compared to Zhang’s method [1].
Keywords
Camera calibration, Lens distortion rectification, Nonlinear optimization, Camera intrinsic and extrinsic parameters
DOI
10.12783/dtetr/icmca2017/12374
10.12783/dtetr/icmca2017/12374
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