# 双目标定 使用matlab对双目图像进行标定 1. 拍摄双目图像然后将左右目图像进行分割。拍摄和分割均在`catpture_photo.py`完成。完成后图片自动保存在文件夹中。 2. 打开matlab ![Untitled](./image/Untitled.png) 点击New Session后Add Images分别添加左右目图像。 点击Calibrate进行标定 1. 标定完成后Export Camera Parameters 2. 获得标定结果 ![Untitled](./image/Untitled 1.png) ```cpp new_stereo: Mat cam_matrix_left = (Mat_(3, 3) << 4.869084743604942e+02, 0, 0, 0,4.859921620798602e+02, 0, 2.813183643903652e+02, 2.267657091677993e+02, 1); Mat cam_matrix_right = (Mat_(3, 3) << 4.859133331805883e+02, 0, 0, 0,4.850356748771951e+02, 0, 2.970046483040089e+02, 2.324763397214774e+02, 1); Mat distortion_l = (Mat_(1, 5) <<0.121235284781974,-0.161097849662596, 0, 0, 0); Mat distortion_r = (Mat_(1, 5) <<0.105479235005840,-0.120347246815955, 0, 0, 0); Mat rotate = (Mat_(3, 3) << 0.999921984818601, 3.753847738839353e-04, -0.012485325894835, -4.085449515452996e-04, 0.999996396040715, -0.002653487630467, 0.012484284819374, 0.002658381435011,0.999918534502034); Mat trans = (Mat_(3, 1) << -60.319997608188590, -0.019664800882533, -0.638993708428792); ``` old stereo ```jsx Mat cam_matrix_left = (Mat_(3, 3) << 4.809895643547006e+02, 0, 0, 0,4.807599168204821e+02, 0, 3.362108165786334e+02, 2.298502481932070e+02, 1); Mat cam_matrix_right = (Mat_(3, 3) << 4.903260126250775e+02, 0, 0, 0,4.900310486342847e+02, 0, 3.230124997386542e+02, 2.346297967642670e+02, 1); Mat distortion_l = (Mat_(1, 5) <<0.113688825569154,-0.106166584327678, 0, 0, 0); Mat distortion_r = (Mat_(1, 5) <<0.121425307936153,-0.141892782717707, 0, 0, 0); Mat rotate = (Mat_(3, 3) << 0.999996295879846, 8.723884080433472e-04, 0.002578209660240, -8.682590894537506e-04,0.999998339366207, -0.001602308016931, -0.002579603213718,0.001600063527818,0.999995392711370); Mat trans = (Mat_(3, 1) << -60.348359844102470,-0.030699794141365, 0.495248628081046); ``` 注意:拍摄和分割程序在windows下完成,在linux下拍摄,标定结果精度不高。