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Region of interest in PIX4Dcloud

This article explains how to define, edit, and manage a region of interest (ROI) when creating a dataset in PIX4Dcloud. A ROI allows users to focus the processing on a specific area within the dataset, which can improve processing efficiency and optimize results. The guide also explains how the ROI interacts with GCPs during processing.

Licenses: This article is valid for all PIX4Dcloud licenses.

Roles: Only Owners, Managers, and Editors can create and process datasets in PIX4Dcloud.

What is a region of interest?

A region of interest is a polygon drawn after importing images but before processing. It defines the area where the outputs (Orthomosaic, DSM, 3D mesh, and point cloud) will be generated. Using a ROI can reduce processing time and improve result quality.

Informations:

  • The ROI is not used for calibration, so credit consumption remains the same with or without it.

  • If the ROI does not overlap with the area captured by images, processing will fail.

  • Images outside the ROI but capturing elements inside the ROI will contribute to the outputs.

How to draw a region of interest

  1. Create a dataset and import the images.

  2. Once the images are displayed on the map, click Region of interest.

  3. Click on the map to define each vertex of the polygon. region_of_interest_1

  4. Double-click or click the first vertex to complete the polygon.
  5. Click Next to continue creating the dataset.region_of_interest_2
The ROI will define the extent of the outputs during processing, but does not need to include all imported images.

How to edit the region of interest

  1. Click inside the ROI; it will be highlighted in blue.region of interest_4

  2. Move a vertex by clicking and dragging it.

  3. Add new vertices by clicking anywhere on the border.

  4. Delete a vertex by pressing Alt and clicking the vertex.

  5. Click outside the ROI to save the changes.

How to delete the region of interest

Click Remove region of interest to delete the polygon.region_of_interest_5

Viewing the region of interest with GCPs

If GCPs are imported before processing, the ROI can be visualized together with them during the GCPs Automation step. The ROI does not need to cover all control points; AutoGCP will detect and use control points even if they are outside the ROI.

region_of_interest_3

Limitations

  • Interior polygons, holes, or multi-part polygons are not supported in the PIX4Dcloud web interface. However, the PIX4Dengine Cloud API allows datasets with these polygon types. More information: projects_processing_options_create.

  • Shapefiles or other external files cannot be used as a ROI.