3D point cloud visualization on the Cloud

Conditions for visualization

The 3D view can load and render the point cloud of a project. This allows to inspect the model with more precision than with the textured mesh. The point cloud can only be visualized if a .las file is generated during the processing on our servers, or if a .las file is provided using the result upload feature. For more information: How to upload results and outputs to the cloud.

Warning: If the project is uploaded from Pix4D desktop application for processing, ensure the point cloud is exported with the .las format. Check the box in the Processing Options before uploading to Pix4D Cloud. For more information: Menu Process > Processing Options... > 2. Point Cloud and Mesh > Point Cloud.
Information: Projects that were uploaded before March 14h, 2018 (date of this feature release) do not have the visualization activated.

Display and 3D measurements

Point clouds make use of LoD (Level-of-Detail) for fast and efficient loading in web browsers. It is possible to change the visualization settings, size and number of points, by clicking ic_settings_black.png.

The rendering can rely on an adaptive or a fixed size mode.

  • Adaptive point size mode: the size of the points reflects the LoD level (not the precision) that is being displayed. This can create disparities among the points where some appear larger than others.
  • Fixed point size mode: the size of the points does not adapt to the LoD being displayed. This mode can favor a better rendering in particular situations, especially those where models contain thin structures.

To change the point size mode:

  1. On the left panel, click the Point Cloud layer.
  2. On the right panel, select Fixed or Adaptive as Point size mode.
Pix4Dfields and Pix4Dmodel: fixed point size mode is only available for projects under a Pix4Dmapper or Pix4Dbim license.

If the project is processed on the Cloud servers, the point cloud allows to export 3D measurements and annotations that are georeferenced. For more information: Cloud georeferencing, annotations and measurements.

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