A new linear iterative algorithm for estimating the fundamental matrix is presented.

提出了一种新的估计基本矩阵的线性迭代算法。

By using the characteristic vector method, the fundamental matrix solution is obtained.

采用特征向量法求其基本矩阵解。

It consist of computation of fundamental matrix in two views and of trifocal tensor in three views.

主要包括两视点结构中基本矩阵及三视点结构中三焦张量的计算。

On the basis of the error model, the paper also analyzes the application of data normalization algorithm to estimating fundamental matrix.

针对所建立的误差模型，分析数据规范化算法在基础矩阵估计中的应用。

To avoid sitting reference object on scene, the model of self-calibration based on fundamental matrix estimation and its implementation are proposed.

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。