Zhenjue tutorial : Différence entre versions

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===Dense correlation in image geometry===
===Dense correlation in image geometry===
====Create & edit a mask====
====Create & edit a mask====
<pre>mm3d SaisieMasqQT DSC_3128.JPG</pre>
<pre>mm3d SaisieMasqQT AperiCloud-All.ply</pre>
====Dense correlation====
====Dense correlation====

Version du 9 mars 2016 à 23:24

Picto-liste.png Tutorial index


  • There is a direct download link to download this dataset at :

Once you have download it, you have to UnZip the ".zip" archive.


This dataset contain images with different focal legnth (24 and 100 mm).


Relative orientation

Compute tie points

mm3d Tapioca All  ".*JPG" 1500

Compute relative orientation for images with specified focal length

mm3d Tapas RadialStd ".*JPG" Focs=[20,30] Out=F24

Check residual and number of points used per images.

Compute relative orientation for all images

mm3d Tapas RadialStd ".*JPG" InOri=F24 Out=Toutes

Dense correlation in image geometry

Create & edit a mask

mm3d SaisieMasqQT AperiCloud-All.ply

Dense correlation

mm3d Malt GeomImage "DSC_31((2[5-9])|(3[0-1])).JPG" Toutes Master=DSC_3128.JPG ZoomF=4
mm3d Malt GeomImage "DSC_313[2-9].JPG" Toutes Master=DSC_3135.JPG ZoomF=4 AffineLast=0

Compute a depth map

cd MM-Malt-Img-DSC_3128
mm3d GrShade Z_Num6_DeZoom4_STD-MALT.tif ModeOmbre=IgnE Mask=AutoMask_STD-MALT_Num_5.tif FZ=2 Out=../Shade3128.tif
mm3d Nuage2Ply NuageImProf_STD-MALT_Etape_6.xml Attr=../DSC_3128.JPG RatioAttrCarte=4 Out=../3128.ply
cd MM-Malt-Img-DSC_3135
mm3d Nuage2Ply NuageImProf_STD-MALT_Etape_6.xml Attr=../DSC_3135.JPG RatioAttrCarte=4 Out=../3135.ply
mm3d GrShade Z_Num6_DeZoom4_STD-MALT.tif ModeOmbre=IgnE Mask=AutoMask_STD-MALT_Num_5.tif FZ=2 Out=../Shade3135.tif