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