首先，指出了传统标定矩阵的物理意义。
First, the physical meaning of the traditional calibration matrix is shown.
为了提高传感器的测量精度，研究了六维力传感器标定矩阵的构造方法。
In order to improve the measuring precision of the sensor, the constructing method of the six-dimensions force sensor's calibration matrix is studied.
在建立标定矩阵新概念的基础上，提出了一种传感器的自动标定的方法，其具有简单、快捷、准确，并能完全消除加载力误差影响等特点。
Based on the new concept of calibration matrix, a method to calibrate the sensors automatically is proposed. The method is simple, and can eliminate the effects of error of load force completely.
根据对投影矩阵的退化点结构的影响，改进了选取标定的对应点个数和用户头部的运动轨迹。
According to the influence of degenerate point configurations of projection matrix, the number of calibration correspondences and the track of users head are improved.
利用单应矩阵的特性及近距离的双目一致性约束进行标定。
Characteristic homography matrix and consistency constraints in close range are employed in this calibration.
本文研究利用神经网络实现雅可比矩阵模型的机器人手眼协调无标定动态系统的跟踪性能。
The paper studies performance of the uncalibrated hand-eye coordination system, whose image Jacobian matrix is estimated by Neural Network way.
该标定方案直接优化摄像机相对于世界坐标系的旋转角度，因此能够在获得精确解的同时，保证旋转矩阵的正交约束条件。
Because the calibration method directly optimizes the camera rotation angles relative to the world coordinate system, it ensures the orthonormal constraints as well as the precise solutions.
这种情况下不需要标定摄像机在世界坐标系的位置，相对的对于世界坐标系的旋转矩阵和平移矩阵也不需要。
In this instance, the location of camera in the world coordinates is unnecessary to calibrated, and the rotary matrix and horizontal movable matrix is needless too.
并采用六方晶系孪晶面的变换矩阵对孪晶电子衍射花样进行了标定。
The selected area electron diffraction (SAED) pattern of the twin was indexed by transforming matrix of hexagon crystal twin plan.
利用常用仪器只测量相对位置信息，并基于识别矩阵的非奇异性，通过仿真来选择合适的试验方案；标定试验取得了较好的效果。
The information of relative position is obtained using the universe instruments, and the calibration scheme is acquired through simulation according to the non-singularity of the observation matrix.
该算法避开了烦琐的摄像机标定这一过程，也不用精确地求解单应性矩阵。
The algorithm avoid the cumbersome process of the camera calibration, and it does not accurately be solved single matrix.
为避免测量过程中在现场设置标定参考点，研究了以基础矩阵估计为基础的交通事故摄影图像自标定模型，并分析了其实现过程。
To avoid sitting reference object on scene, the model of self-calibration based on fundamental matrix estimation and its implementation are proposed.
使用恒定旋转矩阵使得目标三维定位的算法与标定参数的过程大大简化，同时具有较高的定位精度。
The constant rotation matrix simplifies the algorithm and process of object 3 D position, and it can achieve high accuracy.
该算法首先求解目标的高度，避免了方程系数矩阵病态，因而在算法量相当的情况下，可获得较好的目标定位精度。
This algorithm, which first solves target's altitude and avoids ill-conditioned system of equation, can improve the location accuracy with the same operating complexity.
从误差建模出发，得到基于相对位置测量的标定参数识别矩阵。
The observation matrix of calibration on relative position measurement is achieved from error model.
最后，研究了传感器的静态标定原理，并对传感器进行了静态标定实验，得到了传感器的标定实验解耦矩阵。
Finally, principle of the sensor calibration is analyzed, and the sensor coupling matrix is calculated according to the data of the static calibration experiment.
线性模型摄像机标定中，由于不考虑非线性畸变，使投影矩阵存在着标定误差，并影响三维重建的精度。
For not considering the non-linear deformation in linear model camera calibration, projection matrix (PM) con-tains calibration error that affects the precision of3D reconstruction.
对两坐标系的转换矩阵、标定方法和标定精度进行研究。
The transformation matrix, calibration method and precision of the coordinate system were investigated.
由于该算法直接优化摄像机的旋转角度，所以本文的标定方案能够容易地满足旋转矩阵正交约束条件。
Because the algorithm optimized the rotation angles directly, the orthonormal constraints were easily satisfied in the present method.
针对光纤通信中检偏模块的校准问题，给出了一种基于向量投影算法的校准矩阵的快速标定方法，并对其标定原理进行了分析。
To solve the problem of calibrating the polarimeter module, a new approach based on vector projection algorithm was proposed, and the principle of calibration was analyzed.
该方法通过保持机器人连杆三到机器人基坐标系的旋转矩阵恒定来直接获得世界坐标，简化复杂的手眼标定和相机标定。
The method is keeping the rotation array between robot's connecting-rod 3 and robot reference coordinate constant, which can simplify the complicated hand-eye calibration and camera calibration.
该方法通过保持机器人连杆三到机器人基坐标系的旋转矩阵恒定来直接获得世界坐标，简化复杂的手眼标定和相机标定。
The method is keeping the rotation array between robot's connecting-rod 3 and robot reference coordinate constant, which can simplify the complicated hand-eye calibration and camera calibration.
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