Process

Point cloud processing

You might say: 3D processing

Point-cloud processing filters, downsamples, segments, and registers 3D points into a common frame.

What it does

Produces surfaces, obstacles, and object geometry for mapping and planning.

Ask

What voxel size, outlier rule, and registration error fit this sensor and scene?

Typical

Choose voxel and neighbourhood scales from sensor noise and the smallest geometry that matters; Open3D exposes voxel, outlier, and registration operations rather than one universal size.

What to look for

1. Filtered and downsampled 3D points
2. Segments registered into a common frame
3. Surfaces, obstacles and object geometry

Connections

• Made from: Camera
• Made from: Lidar

Sources

1. Point Cloud Library, The PCL Registration API, Registration APIFor every set of point cloud datasets acquired from different views, we therefore need a system that is able to align them together into a single point cloud model, so that subsequent processing steps such as segmentation and object reconstruction can be applied.
2. Open3D, Point Cloud Tutorial, Voxel downsampling, outlier removal and bounding volumesIt is often used as a pre-processing step for many point cloud processing tasks.

Use it on your project

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