MLS reconstruction from noisy point sets
Merry, Bruce and Christoph Held (2011) MLS reconstruction from noisy point sets. Technical Report CS11-04-00, Department of Computer Science, University of Cape Town.
For digital preservation of cultural heritage sites in Africa, laser range scanning has been used to produce point clouds. The literature contains extensive work on reconstructing surface models from such point clouds, but often this prior work does not account for artefacts in the data such as vegetation. We have assessed several variations on a specific moving-least-squares (MLS) technique to determine the impact on the quality of the reconstructed surfaces. We found that correct feature size detection and explicit detection of boundaries is important, while a single iteration of almost orthogonal projection is sufficient to give good results.
|EPrint Type:||Departmental Technical Report|
|Keywords:||Moving Least Squares, Surface Reconstruction, Laser Range Scanning|
|Subjects:||I Computing Methodologies: I.3 COMPUTER GRAPHICS|
J Computer Applications: J.7 COMPUTERS IN OTHER SYSTEMS
|Deposited By:||Merry, Bruce|
|Deposited On:||05 December 2011|