一种新的自定标算法——图像变换法

A New Self-calibration Algorithm Based on Image Transformation

提出了一种新的基于图像变换的自定标算法,由于绝对二次曲线的像的各个元素不在一个数量级上,导致自定标过程中对噪音极其敏感·该方法针对于这一缺点,首先估计一个内参矩阵,然后通过图像变换,使绝对二次曲线的像的各个元素在一个数量级上·理论分析及模拟图像序列和真实图像序列的实验结果表明,该自定标算法能够提高定标准确度及鲁棒性·

A camera self-calibration algorithm based on image transformation is presented in the paper. The differences among all the elements of the image of absolute conic in magnitude are so large that solution is extremely sensitive to noise. To challenge the problem, the algorithm is proposed which includes two steps：Firstly,the camera intrinsic matrix is estimated. Secondly, with the estimated intrinsic matrix of the first step, all the elements of the image of absolute conic become in the same magnitude by image transformation. The theory and experiments with both simulation and real data demonstrate that the algorithm can lead to an enormous improvement in the stability and robustness of the result.