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 :

  • L1 minimization

  • L2 minimization

Translation Averaging Method

Method for translation averaging :

  • L1 minimizationn”

  • L2 minimization of sum of squared Chordal distancesn”

  • L1 soft minimization

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