Campari : Différence entre versions
De MicMac
(Campari is able to refine camera calibration) |
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Ligne 44 : | Ligne 44 : | ||
===Examples=== | ===Examples=== | ||
− | ==Using GCP file== | + | ====Using GCP file==== |
For example, in the Mur Saint Martin dataset, you can launch : | For example, in the Mur Saint Martin dataset, you can launch : | ||
<pre>mm3d Campari ".*JPG" MEP-Basc2 MEP-Terrain GCP=[MurSaintMartin.xml,0.02,MesureBasc.xml,0.5]</pre> | <pre>mm3d Campari ".*JPG" MEP-Basc2 MEP-Terrain GCP=[MurSaintMartin.xml,0.02,MesureBasc.xml,0.5]</pre> | ||
− | ==With embedded GPS data, with refinement of camera calibration== | + | ====With embedded GPS data, with refinement of camera calibration==== |
In the "Grand-Leez" dataset, adding GPS information in the bundle adjustment has a positive impact on the refinement of the camera orientation, in particular on the camera calibration. | In the "Grand-Leez" dataset, adding GPS information in the bundle adjustment has a positive impact on the refinement of the camera orientation, in particular on the camera calibration. | ||
<pre>Campari "R.*.JPG" BL72 BL72-Campari EmGPS=[GPS-BL72,2] FocFree=1 PPFree=1</pre> | <pre>Campari "R.*.JPG" BL72 BL72-Campari EmGPS=[GPS-BL72,2] FocFree=1 PPFree=1</pre> |
Version du 10 octobre 2016 à 15:58
Sommaire
Description
Campari is a tool for compensation of heterogeneous measures (tie points and ground control points).
Syntax
The global syntax for Campari is :
mm3d Campari FullDirectory InputOrientation OutputOrientation NamedArgs
Help
You can access to the help by typing :
mm3d Campari -help
Mandatory unnamed args :
- string :: {Full Directory (Dir+Pattern)}
- string :: {Input Orientation}
- string :: {Output Orientation}
Named args :
- [Name=GCP] vector :: {[GrMes.xml,GrUncertainty,ImMes.xml,ImUnc]}
- [Name=EmGPS] vector :: {Embedded GPS [Gps-Dir,GpsUnc, ?GpsAlti?], GpsAlti if != Plani}
- [Name=GpsLa] Pt3dr :: {Gps Lever Arm, in combination with EmGPS}
- [Name=SigmaTieP] REAL :: {Sigma use for TieP weighting (Def=1)}
- [Name=FactElimTieP] REAL :: {Fact elimination of tie point (prop to SigmaTieP, Def=5)}
- [Name=CPI1] bool :: {Calib Per Im, Firt time}
- [Name=CPI2] bool :: {Calib Per Im, After first time, reUsing Calib Per Im As input}
- [Name=FocFree] bool :: {Foc Free (Def=false)}
- [Name=PPFree] bool :: {Principal Point Free (Def=false)}
- [Name=AffineFree] bool :: {Affine Parameter (Def=false)}
- [Name=AllFree] bool :: {Affine Parameter (Def=false)}
- [Name=DetGCP] bool :: {Detail on GCP (Def=false)}
- [Name=Visc] REAL :: {Viscosity in Levenberg-Marquardt like resolution (Def=1.0)}
- [Name=ExpTxt] bool :: {Export in text format (Def=false)}
- [Name=ImMinMax] vector :: {Im max and min to avoid tricky pat}
- [Name=DegAdd] INT :: {When specified, degree of additional parameter}
- [Name=DegFree] INT :: {When specified degree of freedom of parameters generics}
- [Name=DRMax] INT :: {When specified degree of freedom of radial parameters}
- [Name=PoseFigee] bool :: {Does the external orientation of the cameras are frozen or free (Def=false, i.e. camera poses are free)}
By default, the bundle adjustment computed by Campari only affects camera orientation. Changing the value of FocFree and/or PPFree and/or AffineFree, or AllFree to 1 permits to refine also camera calibration.
Examples
Using GCP file
For example, in the Mur Saint Martin dataset, you can launch :
mm3d Campari ".*JPG" MEP-Basc2 MEP-Terrain GCP=[MurSaintMartin.xml,0.02,MesureBasc.xml,0.5]
With embedded GPS data, with refinement of camera calibration
In the "Grand-Leez" dataset, adding GPS information in the bundle adjustment has a positive impact on the refinement of the camera orientation, in particular on the camera calibration.
Campari "R.*.JPG" BL72 BL72-Campari EmGPS=[GPS-BL72,2] FocFree=1 PPFree=1