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一种基于移动单目相机的运动物体轨迹与姿态重建方法。

A trajectory and orientation reconstruction method for moving objects based on a moving monocular camera.

作者信息

Zhou Jian, Shang Yang, Zhang Xiaohu, Yu Wenxian

机构信息

Shanghai Key Laboratory of Navigation and Location Based Services, Shanghai Jiao Tong University, Shanghai 200240, China.

College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China.

出版信息

Sensors (Basel). 2015 Mar 9;15(3):5666-86. doi: 10.3390/s150305666.

Abstract

We propose a monocular trajectory intersection method to solve the problem that a monocular moving camera cannot be used for three-dimensional reconstruction of a moving object point. The necessary and sufficient condition of when this method has the unique solution is provided. An extended application of the method is to not only achieve the reconstruction of the 3D trajectory, but also to capture the orientation of the moving object, which would not be obtained by PnP problem methods due to lack of features. It is a breakthrough improvement that develops the intersection measurement from the traditional "point intersection" to "trajectory intersection" in videometrics. The trajectory of the object point can be obtained by using only linear equations without any initial value or iteration; the orientation of the object with poor conditions can also be calculated. The required condition for the existence of definite solution of this method is derived from equivalence relations of the orders of the moving trajectory equations of the object, which specifies the applicable conditions of the method. Simulation and experimental results show that it not only applies to objects moving along a straight line, or a conic and another simple trajectory, but also provides good result for more complicated trajectories, making it widely applicable.

摘要

我们提出了一种单目轨迹相交方法,以解决单目移动相机无法用于移动物体点的三维重建问题。给出了该方法具有唯一解的充要条件。该方法的一个扩展应用是不仅能够实现三维轨迹的重建,还能获取移动物体的方向,而这是基于PnP问题的方法由于缺乏特征而无法得到的。这是一个突破性的改进,它将视频测量中的相交测量从传统的“点相交”发展到“轨迹相交”。仅通过线性方程即可获得物体点的轨迹,无需任何初始值或迭代;对于条件较差的物体方向也能够进行计算。该方法存在确定解的所需条件是从物体移动轨迹方程阶数的等价关系推导出来的,这明确了该方法的适用条件。仿真和实验结果表明,它不仅适用于沿直线、圆锥曲线和其他简单轨迹移动的物体,对于更复杂的轨迹也能提供良好的结果,使其具有广泛的适用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e17/4435126/bbfbebff40d6/sensors-15-05666-g001.jpg

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