MLS reconstruction from noisy point sets

Merry, Bruce and Held, Christoph (2011) MLS reconstruction from noisy point sets, CS11-04-00, Department of Computer Science, University of Cape Town.

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Abstract

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.

Item Type:	Technical report
Uncontrolled Keywords:	Moving Least Squares, Surface Reconstruction, Laser Range Scanning
Subjects:	Computing methodologies > Computer graphics Applied computing > Computers in other domains
Date Deposited:	05 Dec 2011
Last Modified:	10 Oct 2019 15:33
URI:	http://pubs.cs.uct.ac.za/id/eprint/737

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