Gravillons tutorial - Historique des versions

Mdaakir : /* Download */

2022-07-14T18:18:04Z

‎Download

Djessop : Tidied up some phrases

2017-10-05T19:26:29Z

Tidied up some phrases

Olegalexandrov : change some wording

2017-01-19T16:52:48Z

change some wording

Dias : /* Download */

2016-12-09T16:43:52Z

‎Download

Dias le 9 décembre 2016 à 16:41

2016-12-09T16:41:05Z

Dias le 9 décembre 2016 à 16:40

2016-12-09T16:40:49Z

Barbero-Garcia : Minor corrections of the code

2016-12-04T12:24:22Z

Minor corrections of the code

Luc Girod : /* 4 Absolute Orientation */

2016-08-25T11:48:45Z

‎4 Absolute Orientation

Dias le 19 août 2016 à 09:06

2016-08-19T09:06:16Z

Dias le 19 août 2016 à 09:03

2016-08-19T09:03:55Z

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 ==Download==
-You can find this dataset at <code>http://micmac.ensg.eu/data/gravillons_dataset.zip</code> <br>
+You can find this dataset at <code>https://micmac.ensg.eu/data/gravillons_dataset.zip</code> <br>
 Once you have downloaded it, you have to extract the ".zip" archive.

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 ===2 Internal Orientation+Relative Orientation===
 Photogrammetry is composed of three steps :
-*Internal Orientation : which consist to determine camera's paremeter (focal length, PPA, PPS, distorsion center, or distorsion parameters).
+*Internal Orientation : to determine camera parameters (focal length, PPA, PPS, distortion center, or distortion parameters).
-*Relative Orientation : which consist to determine position of each camera's from each other in an arbitrary system.
+*Relative Orientation : to determine the relative position of each camera in an arbitrary coordinate system.
-*Absolute Orientation : which consist to bascule the relative orientation to a scaled and oriented system (typically WGS84)
+*Absolute Orientation : to map the relative orientations to a scaled and oriented coordinate system (typically WGS84)
 In digital photogrammetry, the two first steps are generally processed at the same time. In MicMac, the tools which perform internal and relative orientation is call [[Tapas]] :
 <pre>mm3d Tapas FraserBasic ".*.JPG" Out=Arbitrary</pre>
-This tools use a compensation by least squares to determine camera's parameter and relative orientation. The option "FraserBasic", correspond to a model of distorsion for our camera. The "option" Out specify the name of the orientation directory (here it will be Ori-Arbitrary).
+This tool uses a compensation by least squares to determine camera parameters and relative orientations. The option "FraserBasic", correspond to a model of distortion for our camera. The "option" Out specify the name of the orientation directory (here it will be Ori-Arbitrary).
 ===3 Visualize Relative Orientation===

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 [[Image:picto-liste.png|25px|link=Tutorials]] [[Tutorials|Tutorials index]]
 ==Description==
-During this tutorial, we will approach general concepts, basics tools and how to process an image dataset with overlapping with MicMac. This dataset is willingly light (4 images) to focus under MicMac tools rapidly.
+In this tutorial, we will approach general concepts, basics tools, and how to process an image dataset with overlaps with MicMac. This dataset is light by design (4 images), in order to focus on the MicMac tools.
-This tutorial is designed specially for MicMac debutant with a light photogrammetry background.
+This tutorial is designed especially for MicMac beginners with a light photogrammetry background.
 ==Download==
 You can find this dataset at <code>http://micmac.ensg.eu/data/gravillons_dataset.zip</code> <br>
-Once you have downloaded it, you have to unzip the ".zip" archive.
+Once you have downloaded it, you have to extract the ".zip" archive.
 ==Presentation==
 This dataset was created by L.Girod at the University of Oslo, Norway. This dataset was acquired to model a volcano model created by O.Galland.
-File present in the directory are :
+Files present in the directory are:
 *4 images : 1.JPG, 2.JPG, 3.JPG, 4.JPG.
 [[Image:01_gravillons_caroussel.png]]
-*GCPs coordinates : Dico-Appuis.xml.
+*GCP coordinates: Dico-Appuis.xml.
-*Mesure of GCPs in images : Mesure-Appuis.xml.
+*Measures of GCPs in images: Mesure-Appuis.xml.
-*1 Mask : 1_Masq.tif/1_Masq.xml
+*1 Mask: 1_Masq.tif/1_Masq.xml
-*2 commands scripts : gravillons.sh (Linux) et gravillons.bat (Windows)
+*2 command scripts: gravillons.sh (Linux) and gravillons.bat (Windows)
 ==Tutorial==

@@ Ligne 5 : / Ligne 5 : @@
 ==Download==
-You can find this dataset at <code>http://micmac.ensg.eu/data/gravillons_dataset.zip</code>
+You can find this dataset at <code>http://micmac.ensg.eu/data/gravillons_dataset.zip</code> <br>
 ==Presentation==

@@ Ligne 5 : / Ligne 5 : @@
 ==Download==
-*You can find this dataset at <code>http://micmac.ensg.eu/data/gravillons_dataset.zip</code>
+You can find this dataset at <code>http://micmac.ensg.eu/data/gravillons_dataset.zip</code>
 ==Presentation==

@@ Ligne 53 : / Ligne 53 : @@
 <pre>mm3d GCPBascule ".*.JPG" Arbitrary Ground_Init Dico-Appuis.xml Mesure-Appuis.xml</pre>
 This tool process a first Bascule only with the GCPs (Directory Ori-Ground_Init), we will now calculate a second Bascule with GCPs and TPs. To do that, we use the command [[Campari]] :
-<pre>mm3d Campari" ".*.JPG" Ground_Init Ground</pre>
+<pre>mm3d Campari ".*.JPG" Ground_Init Ground</pre>
 The new orientation is stocked in the directory "Ori-Ground". We can visualize it with [[AperiCloud]] :
-<pre>mm3d AperiCloud ".*JPG" Ground</pre>
+<pre>mm3d AperiCloud ".*.JPG" Ground</pre>
 You can visualize the points cloud created in Meshlab.
@@ Ligne 78 : / Ligne 78 : @@
 ===6 Create a Dense Points Cloud===
 This last tool doesn't create directly a 3D point cloud. To generate it, you have to run an other tools, Nuage2Ply :
-<pre>mm3d Nuage2Ply" "MM-Malt-Img-1/NuageImProf_STD-MALT_Etape_7.xml" Attr="1.JPG" Out=1.ply RatioAttrCarte=2</pre>
+<pre>mm3d Nuage2Ply "MM-Malt-Img-1/NuageImProf_STD-MALT_Etape_7.xml" Attr="1.JPG" Out=1.ply RatioAttrCarte=2</pre>
 Then visualize the 3D model "1.ply" in Meshlab.
 ===Conclusion===
 With this tutorial, you went through a complete photogrammetric process with MicMac. This first tutorial was willingly easy and on a minimal dataset to help you kickstart your MicMac skills. To go further, try the next tutorials.

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 <div class="toccolours mw-collapsible mw-collapsed" style="background-color: Lavender;width: 1400px">
 <h6 style="font-family: Helvetica:font-size: 40px">Go further</h6>
-<div class="mw-collapsible-content">The file "Mesure-Appuis.xml" is already furnished in the dataset, it contain the mesurements of each marks in image coordinates (px). If you want to mesure marks by yourself, you can use the tool [[SaisieAppuisInitQT]] before GCPBascule etc...
+<div class="mw-collapsible-content">The file "Mesure-Appuis.xml" is already provided in the dataset, it contain the measurements of each GCPs in image coordinates (px). If you want to mesure the GCPs by yourself, you can use the tool [[SaisieAppuisInitQT]] before GCPBascule etc...
 <pre>mm3d SaisieAppuisInitQT ".*.JPG" Arbitrary Dico-Appuis.xml Mesure-Appuis.xml</pre>
-It launch a GUI to click on marks, when it's finish don't forget to save before to leave. It will create to files :
+It launch a GUI to click on GCPs, when it's finish don't forget to save before leaving. It will create to files :
-*Mesure-Appuis-S2D.xml : Mesurements of marks in images coordinates.
+*Mesure-Appuis-S2D.xml : Measurements of GCPs in images coordinates.
-*Mesure-Appuis-S3D.xml : Mesurements of marks in Relative Orientation (here "Arbitrary"). Warning no unit.
+*Mesure-Appuis-S3D.xml : Measurements of GCPs in Relative Orientation (here "Arbitrary"). Warning no unit.
 So for the following command don't forget to use "Mesure-Appuis-S2D.xml" instead of "Mesure-Appuis.xml".