本文系统地研究了求解单应矩阵的三种算法。
In this paper, the homography matrix algorithms are studied thoroughly.
在平面测量问题中，单应矩阵扮演着十分重要的角色。
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.
该系统支持基于单应矩阵的算法和基于柱面坐标的全自动全景拼图算法。
This system can not only support the algorithm based on homography matrix, but also support automated panoramic mosaicing method based on cylindrical coordinates.
通过这个原理就可以推导出投影矩阵在满足一定条件下可由单应矩阵得到。
It is therefore concluded that a projection matrix can be computed through homography under certain condition.
论述由位于正交平面上的特征点对集合复原无穷远单应性矩阵和摄像机内参数的新算法。
A new algorithm is presented to determine infinite homography matrix and camera intrinsic matrix parameters under one camera motion set from the matched-point sets on two orthogonal planes.
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.
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.
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