National Research Council of Canada. NRC Institute for Information Technology
American Control Conference, 11-13 June 2008, Seattle, Washington, USA
adaptive scanning; quality metrics; range imaging; automated scanning; mesures de qualité; image télémétrique; balayage automatisé
We present an approach to laser range scanning in which quality metrics are used to automatically reduce the number of measurements acquired from a scanner viewpoint. As part of this approach we present improved versions of the orientation and reflectivity quality metrics, as well as introduce two quality metrics: resolvability and planarity. These quality metrics are used to divide the total field of view from a scanner viewpoint into regions. A subset of these regions is then automatically identified as having a significant likelihood of producing useful measurements to augment the initial range image using quality metrics. A series of targetted raster scans is then automatically generated to scan the targetted regions.
Proceedings of the 2008 American Controls Conference (2008): 3857–3862.