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How to optimally visualize the Point Cloud in 3D on PIX4Dcloud

This article explains how to visualize and optimize the display of point clouds in the 3D viewer of PIX4Dcloud. It describes the required file format, supported workflows, and available visualization settings to improve inspection and analysis of reconstructed models. Additional visualization capabilities may be available depending on the license type.

IN THIS ARTICLE

Conditions for point cloud visualization
Point cloud display in the 3D viewer
Point size rendering modes
Adjusting point size

 

Licenses: This article is valid for PIX4Dcloud Starter and PIX4Dcloud Pro licenses (formerly PIX4Dcloud Advanced).

 

Roles: Only Owners, Managers, Editors, and Readers can visualize the outputs in datasets in PIX4Dcloud.

Conditions for point cloud visualization

Point cloud visualization in PIX4Dcloud is supported only when the point cloud is available in .las format. This applies in the following cases:

  • The point cloud is generated in .las format during processing on PIX4Dcloud.

  • A .las file is uploaded manually using the results upload feature.

For more information, see: How to upload results and outputs to PIX4Dcloud.

Warning: If a project is uploaded from PIX4Dmapper for processing in PIX4Dcloud, the point cloud must be exported in .las format before upload.
Enable this option in PIX4Dmapper under: Menu Process > Processing Options... > 2. Point Cloud and Mesh > Point Cloud.

Point cloud display in the 3D viewer

PIX4Dcloud renders point clouds using Level of Detail (LoD) to ensure fast and efficient visualization in web browsers. Visualization parameters such as point size and rendering mode can be adjusted to improve clarity, especially for dense or complex datasets.

To access the point cloud visualization settings:

  1. Open an existing dataset on PIX4Dcloud.
  2. Ensure to be in the 3D view.
  3. Click ic_settings_black.png. Different visualization settings can be changed.
  4. Select the Point Cloud layer to open the details panel.

Point size rendering modes

PIX4Dcloud supports two point size rendering modes:

  • Adaptive
    The point size adapts to the displayed LoD level. This improves performance but may result in visible size variations between points.

  • Fixed
    The point size remains constant regardless of the LoD level. This mode often provides better visual consistency, particularly for thin or detailed structures.

To change the point size mode:

  1. Select the Point Cloud layer in the left panel.

  2. In the Point Cloud details panel, choose Adaptive or Fixed under Point size mode.

Adjusting point size

The size of the points can be customized based on the selected point size mode.

To adjust the point size:

  1. Select the Point Cloud layer in the left panel.

  2. In the Point Cloud details panel, modify the point size value for the active point size mode.

These settings allow users to balance performance and visual accuracy when inspecting point cloud data.