Image processing KITTI stereo 2015数据集使用的双色摄像头的外部和内部参数是什么

我正在使用KITTI stereo 2015数据集（），其中包含安装在车顶上的两个摄像头（cam2和cam3）的彩色图像。我想知道它们的内在和外在参数。 给出了两个校准文件夹：一个是calib，它有带参数的.txt文件：

P0: 7.070912e+02 0.000000e+00 6.018873e+02 0.000000e+00 0.000000e+00 7.070912e+02 1.831104e+02 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00
P1: 7.070912e+02 0.000000e+00 6.018873e+02 -3.798145e+02 0.000000e+00 7.070912e+02 1.831104e+02 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00
P2: 7.070912e+02 0.000000e+00 6.018873e+02 4.688783e+01 0.000000e+00 7.070912e+02 1.831104e+02 1.178601e-01 0.000000e+00 0.000000e+00 1.000000e+00 6.203223e-03
P3: 7.070912e+02 0.000000e+00 6.018873e+02 -3.334597e+02 0.000000e+00 7.070912e+02 1.831104e+02 1.930130e+00 0.000000e+00 0.000000e+00 1.000000e+00 3.318498e-03

calib_time: 09-Jan-2012 13:57:47
corner_dist: 9.950000e-02
S_00: 1.392000e+03 5.120000e+02
K_00: 9.842439e+02 0.000000e+00 6.900000e+02 0.000000e+00 9.808141e+02 2.331966e+02 0.000000e+00 0.000000e+00 1.000000e+00
D_00: -3.728755e-01 2.037299e-01 2.219027e-03 1.383707e-03 -7.233722e-02
R_00: 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00
T_00: 2.573699e-16 -1.059758e-16 1.614870e-16
S_rect_00: 1.242000e+03 3.750000e+02
R_rect_00: 9.999239e-01 9.837760e-03 -7.445048e-03 -9.869795e-03 9.999421e-01 -4.278459e-03 7.402527e-03 4.351614e-03 9.999631e-01
P_rect_00: 7.215377e+02 0.000000e+00 6.095593e+02 0.000000e+00 0.000000e+00 7.215377e+02 1.728540e+02 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00
S_01: 1.392000e+03 5.120000e+02
K_01: 9.895267e+02 0.000000e+00 7.020000e+02 0.000000e+00 9.878386e+02 2.455590e+02 0.000000e+00 0.000000e+00 1.000000e+00
D_01: -3.644661e-01 1.790019e-01 1.148107e-03 -6.298563e-04 -5.314062e-02
R_01: 9.993513e-01 1.860866e-02 -3.083487e-02 -1.887662e-02 9.997863e-01 -8.421873e-03 3.067156e-02 8.998467e-03 9.994890e-01
T_01: -5.370000e-01 4.822061e-03 -1.252488e-02
S_rect_01: 1.242000e+03 3.750000e+02
R_rect_01: 9.996878e-01 -8.976826e-03 2.331651e-02 8.876121e-03 9.999508e-01 4.418952e-03 -2.335503e-02 -4.210612e-03 9.997184e-01
P_rect_01: 7.215377e+02 0.000000e+00 6.095593e+02 -3.875744e+02 0.000000e+00 7.215377e+02 1.728540e+02 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00
S_02: 1.392000e+03 5.120000e+02
K_02: 9.597910e+02 0.000000e+00 6.960217e+02 0.000000e+00 9.569251e+02 2.241806e+02 0.000000e+00 0.000000e+00 1.000000e+00
D_02: -3.691481e-01 1.968681e-01 1.353473e-03 5.677587e-04 -6.770705e-02
R_02: 9.999758e-01 -5.267463e-03 -4.552439e-03 5.251945e-03 9.999804e-01 -3.413835e-03 4.570332e-03 3.389843e-03 9.999838e-01
T_02: 5.956621e-02 2.900141e-04 2.577209e-03
S_rect_02: 1.242000e+03 3.750000e+02
R_rect_02: 9.998817e-01 1.511453e-02 -2.841595e-03 -1.511724e-02 9.998853e-01 -9.338510e-04 2.827154e-03 9.766976e-04 9.999955e-01
P_rect_02: 7.215377e+02 0.000000e+00 6.095593e+02 4.485728e+01 0.000000e+00 7.215377e+02 1.728540e+02 2.163791e-01 0.000000e+00 0.000000e+00 1.000000e+00 2.745884e-03
S_03: 1.392000e+03 5.120000e+02
K_03: 9.037596e+02 0.000000e+00 6.957519e+02 0.000000e+00 9.019653e+02 2.242509e+02 0.000000e+00 0.000000e+00 1.000000e+00
D_03: -3.639558e-01 1.788651e-01 6.029694e-04 -3.922424e-04 -5.382460e-02
R_03: 9.995599e-01 1.699522e-02 -2.431313e-02 -1.704422e-02 9.998531e-01 -1.809756e-03 2.427880e-02 2.223358e-03 9.997028e-01
T_03: -4.731050e-01 5.551470e-03 -5.250882e-03
S_rect_03: 1.242000e+03 3.750000e+02
R_rect_03: 9.998321e-01 -7.193136e-03 1.685599e-02 7.232804e-03 9.999712e-01 -2.293585e-03 -1.683901e-02 2.415116e-03 9.998553e-01
P_rect_03: 7.215377e+02 0.000000e+00 6.095593e+02 -3.395242e+02 0.000000e+00 7.215377e+02 1.728540e+02 2.199936e+00 0.000000e+00 0.000000e+00 1.000000e+00 2.729905e-03

另一个文件夹是数据\场景\流程\校准，它有两个子文件夹用于培训和测试。在training文件夹中有一个名为calib_cam_to_cam的文件夹。此文件夹中还有一个.txt文件，其中包含参数：

P0: 7.070912e+02 0.000000e+00 6.018873e+02 0.000000e+00 0.000000e+00 7.070912e+02 1.831104e+02 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00
P1: 7.070912e+02 0.000000e+00 6.018873e+02 -3.798145e+02 0.000000e+00 7.070912e+02 1.831104e+02 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00
P2: 7.070912e+02 0.000000e+00 6.018873e+02 4.688783e+01 0.000000e+00 7.070912e+02 1.831104e+02 1.178601e-01 0.000000e+00 0.000000e+00 1.000000e+00 6.203223e-03
P3: 7.070912e+02 0.000000e+00 6.018873e+02 -3.334597e+02 0.000000e+00 7.070912e+02 1.831104e+02 1.930130e+00 0.000000e+00 0.000000e+00 1.000000e+00 3.318498e-03

calib_time: 09-Jan-2012 13:57:47
corner_dist: 9.950000e-02
S_00: 1.392000e+03 5.120000e+02
K_00: 9.842439e+02 0.000000e+00 6.900000e+02 0.000000e+00 9.808141e+02 2.331966e+02 0.000000e+00 0.000000e+00 1.000000e+00
D_00: -3.728755e-01 2.037299e-01 2.219027e-03 1.383707e-03 -7.233722e-02
R_00: 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00
T_00: 2.573699e-16 -1.059758e-16 1.614870e-16
S_rect_00: 1.242000e+03 3.750000e+02
R_rect_00: 9.999239e-01 9.837760e-03 -7.445048e-03 -9.869795e-03 9.999421e-01 -4.278459e-03 7.402527e-03 4.351614e-03 9.999631e-01
P_rect_00: 7.215377e+02 0.000000e+00 6.095593e+02 0.000000e+00 0.000000e+00 7.215377e+02 1.728540e+02 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00
S_01: 1.392000e+03 5.120000e+02
K_01: 9.895267e+02 0.000000e+00 7.020000e+02 0.000000e+00 9.878386e+02 2.455590e+02 0.000000e+00 0.000000e+00 1.000000e+00
D_01: -3.644661e-01 1.790019e-01 1.148107e-03 -6.298563e-04 -5.314062e-02
R_01: 9.993513e-01 1.860866e-02 -3.083487e-02 -1.887662e-02 9.997863e-01 -8.421873e-03 3.067156e-02 8.998467e-03 9.994890e-01
T_01: -5.370000e-01 4.822061e-03 -1.252488e-02
S_rect_01: 1.242000e+03 3.750000e+02
R_rect_01: 9.996878e-01 -8.976826e-03 2.331651e-02 8.876121e-03 9.999508e-01 4.418952e-03 -2.335503e-02 -4.210612e-03 9.997184e-01
P_rect_01: 7.215377e+02 0.000000e+00 6.095593e+02 -3.875744e+02 0.000000e+00 7.215377e+02 1.728540e+02 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00
S_02: 1.392000e+03 5.120000e+02
K_02: 9.597910e+02 0.000000e+00 6.960217e+02 0.000000e+00 9.569251e+02 2.241806e+02 0.000000e+00 0.000000e+00 1.000000e+00
D_02: -3.691481e-01 1.968681e-01 1.353473e-03 5.677587e-04 -6.770705e-02
R_02: 9.999758e-01 -5.267463e-03 -4.552439e-03 5.251945e-03 9.999804e-01 -3.413835e-03 4.570332e-03 3.389843e-03 9.999838e-01
T_02: 5.956621e-02 2.900141e-04 2.577209e-03
S_rect_02: 1.242000e+03 3.750000e+02
R_rect_02: 9.998817e-01 1.511453e-02 -2.841595e-03 -1.511724e-02 9.998853e-01 -9.338510e-04 2.827154e-03 9.766976e-04 9.999955e-01
P_rect_02: 7.215377e+02 0.000000e+00 6.095593e+02 4.485728e+01 0.000000e+00 7.215377e+02 1.728540e+02 2.163791e-01 0.000000e+00 0.000000e+00 1.000000e+00 2.745884e-03
S_03: 1.392000e+03 5.120000e+02
K_03: 9.037596e+02 0.000000e+00 6.957519e+02 0.000000e+00 9.019653e+02 2.242509e+02 0.000000e+00 0.000000e+00 1.000000e+00
D_03: -3.639558e-01 1.788651e-01 6.029694e-04 -3.922424e-04 -5.382460e-02
R_03: 9.995599e-01 1.699522e-02 -2.431313e-02 -1.704422e-02 9.998531e-01 -1.809756e-03 2.427880e-02 2.223358e-03 9.997028e-01
T_03: -4.731050e-01 5.551470e-03 -5.250882e-03
S_rect_03: 1.242000e+03 3.750000e+02
R_rect_03: 9.998321e-01 -7.193136e-03 1.685599e-02 7.232804e-03 9.999712e-01 -2.293585e-03 -1.683901e-02 2.415116e-03 9.998553e-01
P_rect_03: 7.215377e+02 0.000000e+00 6.095593e+02 -3.395242e+02 0.000000e+00 7.215377e+02 1.728540e+02 2.199936e+00 0.000000e+00 0.000000e+00 1.000000e+00 2.729905e-03

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我想知道，这两台彩色相机的外在和内在参数是什么。

你要寻找的信息在本文中：

第3页：

以及：

来，我∈ {0,1,2,3}是摄影机索引，其中0表示 左灰度，1为右灰度，2为左颜色，3为 彩色照相机

Kitti图像已经不失真，因此内在参数为p_rect_02和p_rect_03

对于外部校准，这取决于您需要什么。在本文的第4页中，您可以找到如何将3D点投影到不同的相机。通常，3D GT值位于摄影机0参考帧中

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希望这能有所帮助。

谢谢@Milo的回答。我需要（R | t）旋转和平移矩阵作为彩色相机2和3的相机外部。有什么建议吗？@Fazan Kabir关于哪个参考系，你需要R | t？你能提供更多关于你想要完成的事情的细节吗？谢谢你的快速回复：）。假设我从目录data\u stereo\u flow\training\colored\u 0中获取一张单色图像000000\u 10.png。我想知道什么是相机的外部基于这个特定的图像？我的假设是，如果我将校准文件（000000.txt）从目录data_scene_flow_calib\training\calib_cam_到_cam，那么就像你上面提到的，R_02将是旋转矩阵，T_02将是平移矩阵：（R | T）。但我不确定我是否正确：（@Fazan Kabir:似乎[R|u 02 | t|u 02]是在校正之前，校正之后你不需要它们。要将相机参考坐标系中的点投影到第I个相机的图像中，你应该使用P|rect|I*R|u 0，因此你没有明确的[R|t]，而是完整的投影：P*[R | T]。校正后，摄像机对齐，因此它们之间没有旋转。此外，如果您查看P|rect|i的组件（论文中的等式4），您会看到基线b|x|i，这将是唯一的平移组件。因此，如果您确实需要[R | T]明确地说，关于相机参考坐标系，在我看来，它应该是：R=R_rect_0，t=[b_x_i，0，0]t，但我还没有测试它。如果你尝试这个，你能告诉我它是否有效吗？