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Methods for Detection and Reconstruction of Sharp Features in Point Cloud Data

Today, polygonal models occur everywhere in graphical applications, since they are easy 
to render and to compute and a very huge set of tools are existing for generation and 
manipulation of polygonal data. But modern scanning devices that allow a high quality 
and large scale acquisition of complex real world models often deliver a large set of 
points as resulting data structure of the scanned surface. A direct triangulation of those 
point clouds does not always result in good models. They often contain problems like 
holes, self-intersections and non manifold structures. Also one often looses important 
surface structures like sharp corners and edges during a usual surface reconstruction. 
So it is suitable to stay a little longer in the point based world to analyze the point cloud 
data with respect to such features and apply a surface reconstruction method afterwards 
that is known to construct continuous and smooth surfaces and extend it to reconstruct 
sharp features.