基于非刚体的线性迭代相机自标定方法

摘要

为了实现相机标定，本文提出了一种基于非刚体的线性迭代相机自标定方法，该方法假定非刚体由若干个非刚性基线性组成，利用所有图像点组成的图像矩阵为一个低秩矩阵的特性，实现射影重建；利用相机的约束关系线性迭代地实现相机标定。该方法克服了现有自标定方法要求物体做刚体运动的缺点，模拟实验和真实实验数据结果表明，能够有效地实现相机标定。%To calibrate the camera,a linear iteration camera self-calibration method based on non-rigid is presented in this paper.Assumed that the non-rigid is a linear combination of some shape basis,the projective reconstruct can be obtained by using the fact that the image matrix which consists of all the image points and all the depth factors is low rank.Then,the camera calibration can be linear iteration realized based on the camera constraints.The presented method can overcame the shortcoming that the existing self-calibration method can only deal with the rigid.The experiment results with both simulate and real data show that the presented method can efficiently realize the camera self-calibration.