GlobalSfM
Description
GlobalSfM
MR version: 2020.x
settings
Name |
Description |
---|---|
Input |
SfM Data File |
Features Folder |
|
Features Folders |
Folder(s) containing the extracted features. |
Matches Folder |
|
Matches Folders |
Folder(s) in which computed matches are stored. |
Describer Types |
Describer types used to describe an image. [‘sift’, ‘sift_float’, ‘sift_upright’, ‘akaze’, ‘akaze_liop’, ‘akaze_mldb’, ‘cctag3’, ‘cctag4’, ‘sift_ocv’, ‘akaze_ocv’] |
Rotation Averaging Method |
Method for rotation averaging :
|
Translation Averaging Method |
Method for translation averaging :
|
Force Lock of All Intrinsic Camera Parameters. |
Force to keep constant all the intrinsics parameters of the cameras (focal length, principal point, distortion if any) during the reconstruction. This may be helpful if the input cameras are already fully calibrated. |
Verbose Level |
verbosity level (critical, error, warning, info, debug). |
Output Folder |
internalFolder |
Output SfMData File |
Path to the output sfmdata file (internalFolder + ‘SfmData.abc’) |
[Moulon2013] Global Fusion of Relative Motions for Robust, Accurate and Scalable Structure from Motion. Pierre Moulon, Pascal Monasse and Renaud Marlet. ICCV 2013
GlobalSFM vs SequentialSFM https://github.com/openMVG/openMVG/issues/1037