Intermediate coordinate based pose non-perspective estimation from line correspondences

Yujia Cao, Zhichao Cui, Yuehu Liu, Xiaojun Lv, K.C.C. Peng
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Abstract

In this paper, a non-iterative solution to the non-perspective pose estimation from line correspondences was proposed. Specifically, the proposed method uses an intermediate camera frame and an intermediate world frame, which simplifies the expression of rotation matrix by reducing to the two freedoms from three in the rotation matrix R. Then formulate the pose estimation problem into an optimal problem. Our method solve the parameters of rotation matrix by building the fifteenth-order and fourth-order univariate polynomial. The proposed method can be applied into the pose estimation of the perspective camera. We utilize both the simulated data and real data to conduct the comparative experiments. The experimental results show that the proposed method is comparable or better than existing methods in the aspects of accuracy, stability and efficiency.
基于中间坐标的线对应位姿非透视估计
本文提出了一种基于直线对应的非透视姿态估计的非迭代解。该方法采用中间相机帧和中间世界帧,将旋转矩阵r中的三个自由度简化为两个自由度,从而将姿态估计问题转化为最优问题。该方法通过建立十五阶和四阶单变量多项式来求解旋转矩阵的参数。该方法可应用于透视相机的姿态估计。我们利用模拟数据和真实数据进行对比实验。实验结果表明,该方法在精度、稳定性和效率方面与现有方法相当或更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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