Fontaine tutorial

Download

• There is a direct download link to download this dataset at :http://micmac.ensg.eu/fontaine_dataset.zip
  

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

Description

30 JPG files. In this dataset there isn't any data about the camera which was used. The shooting set contain 30 images, all taken with the Canon 70D camera with an 18mm lens. The camera saves metadata for all the pictures (exif data). If you are looking in the property data of each pictures, the 18mm lens is mentionned and the various chosen settings while the production of this dataset was realized (opening, break, ...).

There are 5 parts in this dataset :

• 4 parts includes 4 differents points of view of the fountain. Each part was created with a cross points of view. This means there is one master image at the center and 4 images around it (top, bottom, left and right from the master image).
• 1 part contain the others images (IMG.*JPG). These images are images link, this means that they will allow to link the 4 other parts together. There won't be used to generate the dense clouds points.
  

We will work this dataset with the image geometry pattern, that means that we will choose one master image, from this image it will be calculate a depth map. This master image can't cover the whole object at 360degree. To modelize this 3D object, we need to calculate a few more depth map with the image geometry pattern in order to get the whole 3D fountain. In this exercise, we will calculate 4 depths maps : one for each part.

Tie-points search

All the images should be set simultaneously, in order that the 4 parts are consistent between them. The setting will be done in an arbitary system, but the same system is keeped for all the images. So, the 4 depths maps generated (aswell at the 4 clouds) will be in the same cordonate system.

First, we need to run the tie-points search :
mm3d Tapioca MulScale ".*JPG" 500 2500