Open jaykar21 opened 3 years ago
In section 4 under scale calibration to align the colmap scale with the network, the global scale adjustment factor is multiplied with the translation vector as shown in eq. 3. In the implementation the translation vector is divided by the scale factor. Is there a reason for this difference or am I missing something here.
The reason why there is a scale is because colamp and not get the absolute 3d information with only a sequence of images, so the semi-depth from colmap has a scale with the real depth, which is inferred from learned-based model. So does translation
In section 4 under scale calibration to align the colmap scale with the network, the global scale adjustment factor is multiplied with the translation vector as shown in eq. 3. In the implementation the translation vector is divided by the scale factor. Is there a reason for this difference or am I missing something here.