The constant rotation matrix simplifies the algorithm and process of object 3 D position, and it can achieve high accuracy.
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。
Under the circumstances that do not have the aid of group theory, we give three direct ways to calculate the rotation matrix.
在不借助群论的条件下，给出了转动矩阵的三种直接计算方法。
Based on the orthogonality of rotation matrix, a constrained optimization approach is proposed to estimate the rotation matrix.
本文利用旋转矩阵的正交性，提出了进一步改善原旋转矩阵估计的约束优化方法。
By calculating spatial beeline coordinate information in the two camera coordinate systems, the rotation matrix between two cameras could be obtained.
计算空间直线在两摄像机坐标系中的位置信息，得出两摄像机间的旋转矩阵。
The rotation matrix can be linearly acquired by using only 4 vanishing points and the translation vector can be linearly solved by using only 2 spatial point objects.
该方法仅需4对消隐点象面坐标便可线性求解出旋转矩阵，再用2个空间点坐标便可线性求解出平移矢量。
Based on the unit quaternion decomposition of rotation matrix, this paper puts forward an algorithm to estimate motion parameters from the space position vectors of 3d feature points.
本文基于旋转矩阵单位四元数分解定理，提出一种由3D特征点空间位置估计运动参数的算法。
Based on the unit quaternion decomposition of rotation matrix, this paper puts forward an algorithm to estimate motion parameters from the space position vectors of 3d feature points.
本文基于旋转矩阵单位四元数分解定理，提出一种由3D特征点空间位置估计运动参数的算法。
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