Create Dense Point Set

Source file: create-dense-point-set.htm

The Create Dense Point Set tool creates a dense point cloud from the photogrammetry images and the sparse point cloud generated in the new reconstruction.

To create a dense point set , click Create Dense Point Set on the Photogrammetry tab, then follow the steps below.

  1. Select the required sparse point cloud in the project explorer. It will automatically appear in the Sparse point cloud field.

  2. Select the appropriate reconstruction category, as with creating a photogrammetric reconstruction (see New).

  3. General For reconstruction projects where other options don’t apply.
    Aerial/Nadiral For reconstructing a top-down view scenario, typically a UAV drone-acquired dataset.
    Urban For reconstructing buildings, façades, or scenarios that are shot in an urban setting. You can use this category for small objects instead of the Surface scan category if you are mixing different types of photos, especially if the whole dataset is not shot from the same distance.
    Surface scan For reconstructing surfaces close up (e.g., terrain or ground).
    Vertical structure For reconstructing telecommunication towers or other thin vertical structures from drones.
  4. Choose the Mode from the available options:

    Mode Description Applicable categories
    Preview This mode skips densification; the sparse point cloud is treated as the dense point cloud. General, Aerial/Nadiral, Urban, Surface scan
    Default Default settings for most use cases. General, Aerial/Nadiral, Urban, Surface scan
    High details Higher resolution than the default setting. Use this setting when the Default mode result is unsatisfactory. General, Aerial/Nadiral, Urban, Surface scan, Vertical structure
    Ultra Fine resolution and very slow mode that should be used only in very specific cases. Surface scan, Vertical structure
  5. Click Apply or OK

The dense point cloud will be placed in the same container as the sparse point cloud and displayed in the active view window.