如何从Kitti数据集计算基本矩阵?

时间:2017-03-08 18:46:50

标签: python computer-vision

我正在研究Kitti立体数据集(http://www.cvlibs.net/datasets/kitti/eval_stereo.php),我想计算基本矩阵,这在校准文件中没有给出。但是,对于一对立体图像,给出以下信息:

S_xx: 1x2 size of image xx before rectification
K_xx: 3x3 calibration matrix of camera xx before rectification
D_xx: 1x5 distortion vector of camera xx before rectification
R_xx: 3x3 rotation matrix of camera xx (extrinsic)
T_xx: 3x1 translation vector of camera xx (extrinsic)
S_rect_xx: 1x2 size of image xx after rectification
R_rect_xx: 3x3 rectifying rotation to make image planes co-planar
P_rect_xx: 3x4 projection matrix after rectification

如何从这些计算基本矩阵?

1 个答案:

答案 0 :(得分:0)

如果您在两台摄像机之间进行平移和旋转,则可以使用以下信息:https://en.wikipedia.org/wiki/Essential_matrix 计算基本矩阵,然后使用相机内在校准矩阵来计算基本矩阵,如https://en.wikipedia.org/wiki/Fundamental_matrix_(computer_vision)

中所述