With the growing size of captured 3D models it has become increasingly
important to provide basic efficient processing methods for large
unorganized raw surface-sample point data sets. In this project we
introduce a novel stream-based and out-of-core geometry processing
framework. The proposed approach processes points in an orderly
sequential way by sorting them and sweeping along a spatial dimension.
The major advantages of this new concept are: (1) support of extensible
and concatenable local geometry processing operators called stream
operators, (2) low main-memory usage and (3) applicability to process
very large data sets out-of-core.