Processing options - Densify

Pix4Dmatic_raycloud.png

Calibrate
Pix4Dmatic_point_cloud.png

Densify

Densify

 
Access: 
  • Click Process processing_options.png.
  • On the Menu bar, click Process > Densify.

It allows users to change the following processing options:

Density

This parameter defines the density of the point cloud:

  • Optimal (Default): A 3D point is computed for every 8th pixel of the original image. This is the recommended point cloud density.
  • High: A 3D point is computed for every 2nd pixel of the original image. The result will be an oversampled point cloud that requires up to 4 times more processing time and RAM than Optimal density. Usually, this point cloud option does not significantly improve the results.
  • Low: A 3D point is computed for every 32rd pixel of the original image. The final point cloud is computed up to 4 times faster and uses up to 4 times less RAM than Optimal density.
 
Note: The point Density has an impact on the processing time and the number of 3D points generated.

Minumum matches

Minimum Number of Matches (2-6, 3 default) represents the minimum number of valid re-projections of this 3D point to the images. For example, when using the Minimum Number of Matches 3 (default), each 3D point has to be correctly re-projected in at least 3 images.

 
Tip: We recommend using the Minimum Number of Matches:
  • 2: For projects with a small overlap. Note that this option produces a point cloud with more noise and artifacts.
  • 4, 5, or 6: To reduce the noise and improve the quality of the point cloud. Note that this option might compute less 3D points in the final point cloud.

Exports

To export the point cloud automatically during the Densify step:

  • In Densify > Exports, select the Dense point cloud .las option.
  • (Optional) Click Pix4Dmatic_folder.png and specify the desired path and filename.
 
Note: The Dense point cloud .las option is disabled by default. It is possible to export the point cloud without re-running Densify step:
  • On the Menu tab, click File > Export .las...
  • Specify the desired path and filename.
  • Click Save.
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