How to merge projects

It is possible to merge projects for which step 1. Initial Processing has already been completed in Pix4Dmapper. This allows the combination of information from different projects into one single project.

Merging projects is useful when:

  • Different image acquisition types such as terrestrial and circular and grid are used. This is very helpful when reconstructing an object which requires a grid, circular, and terrestrial imaging. For example, image obtained from the handheld camera and the drone can be combined to generate detailed 3D models.
  • The dataset is considered large for the capabilities of the available processing resources.

Merging projects can speed-up step 1. Initial Processing time. It can also be used for projects having processing issues during step 1. Initial Processing with respect to memory use (not enough memory).

Note: After merging, the subprojects do not have an impact on the merged project. They can be deleted, moved or modified.
   

Before merging projects

If a project consists of several flights, it is possible to process each one separately and then merge the several subprojects:

If a project is too large to be processed at once due to the processing resources, it can be split into subprojects.

Important: Two or more projects can be merged only if ALL of the following conditions are fulfilled:
  • The coordinate system (both horizontal and vertical) of the images has to be the same in all subprojects. Note: A subproject with no image geolocation can be merged with a subproject with image geolocation.
  • The GCPs have to be in the same coordinate system (both horizontal and vertical) in all subprojects. Note: A subproject with no GCPs can be merged with another subproject with GCPs.
    It is highly recommended the GCPs to be added in the merged project, especially when more than 2 subprojects are merged.
  • The output coordinate system (both horizontal and vertical) of all subproject has to be the same. Note: A subproject with no georeference (arbitrary system) can be merged with a subproject with georeference.

For more information about the Image / GCP / Output Coordinate System: How to select / change the Image / GCP / Output Coordinate System.

Merging projects

1. Open Pix4Dmapper.
2. On the Menu bar, click Project > New Project..., the New Project wizard opens:
3. In Name, type a name for the merged project.
4. (Optional) In Create in: click Browse... On the Select project location pop-up, navigate to select the folder where the project and results will be stored and click Select Folder.

Note: A folder named after the project will be created in the selected folder and it will store all the results.

5. (optional) Select the check box Use As Default Project Location to save all new projects in the selected folder.
6. Selected the option Project Merged from Existing Projects.
7. Click Next.
8. On the Merge Projects page, the Duplicate camera parameters option is activated by default. If the camera model of the different projects is the same, it is duplicated by adding the name of the project at the end of the original camera model name.

Note: This option allows the user to optimize the camera model of each project separately, which can enhance the results. The camera model can be edited once the project is created. Unselecting the Duplicate camera parameters option is recommended only when the camera and the environmental conditions (temperature, etc.) were the same for all the subprojects to be merged.

9. Click Add projects...
10. On the Select Projects pop-up that opens, browse to the project files. Select the projects to be merged (multiple selection is possible) and click Open.
11. Repeat step 9 and 10 to add more projects (if the processing resources can handle multiple projects)
12. Click Next.
13. Click Finish to create the merged project.

14. Automatically (no user intervention) the subprojects are combined and processed together. The final results of step 1. Initial Processing are generated.
15. Verify the Quality Report. One block should be created.
16. When the reconstruction consists of a single block, use the results to create another merged project, or start step 2. Point Cloud and Mesh and 3. DSM, Orthomosaic and Index.

Note: Each block is processed separately when processing step 1. Initial Processing before merging. When merging:

  • If at least 3 Manual Tie Points were marked in common area between the subprojects in each subproject, and if they have the same label in all subprojects, a pop-up appears when creating the merged project, asking if they are the same and have to be combined. If they are the same, then the software can join the blocks and create only one block.
  • If there are not at least 3 Manual Tie Points when merging, two or more blocks are created. Therefore, after merging the projects it is required to add at least 3 Manual Tie Points in the common area and Reoptimize in order to obtain a single block. By generating the Quality Report it is possible to verify that one block was created.

By checking the Automatic Tie Points displayed in the rayCloud it is possible to confirm the adjustment of the two projects.

Troubleshooting

It is very important that before merging, all subprojects are processed successfully and there are no issues reported in the initial checks of the quality report, e.g. bad camera optimization, uncalibrated camera or multiple blocks.

If possible try processing projects with similar flight height and camera orientation together as one project rather than merging. This can simplify the process of getting the sparse point cloud to align properly.

Cases, where the projects fail to align properly relative to each other, are:

  • There is not enough overlap between image acquisition plans.
    • Make sure that each plan captures the images with enough overlap.
  • Not enough matches between the subprojects.
    • Add more common Ground Control Points or Manual Tie Points in the subprojects before merging.

 

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1 comment

  • reseller aerocamservicios

    Excelente explicación, de mucha utilidad en los levantamientos para catastro urbano en donde las cantidades de fotografías son enormes.

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