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Point clouds arising from structured data, mainly as a result of CT scans,provides special properties on the distribution of points and the distancesbetween those. Yet often, the amount of data provided can not compare tounstructured point clouds, i.e. data that arises from 3D light scans or laserscans. This article hereby proposes an approach to extend structured data andenhance the quality by inserting selected points from an unstructured pointcloud. The resulting point cloud still has a partial structure that is called"half-structure". In this way, missing data that can not be optimally recoveredthrough other surface reconstruction methods can be completed.

Filling missing data in point clouds by merging structured and unstructured point clouds