Measurement quality metrics for rapid laser range scanning

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Journal titleSPIE Journal of Electronic Imaging
Pages0111004-10111004-12; # of pages: 12
SubjectInformation and Communications Technologies
AbstractQuality metrics quantify by how much some aspect of a measurement deviates from a predefined standard. Measurement quality evaluations of laser range scanner data are used to perform range image registration, merging measurements, and view planning. We have developed a scanning method that uses laser range scanner quality metrics to both reduce the time required to obtain a complete range image from a single viewpoint and the number of measurements obtained during the scanning process. This approach requires a laser range scanner capable of varying both the area and sampling density of individual scans, but can be combined with view planning methods to reduce the total time required to obtain a complete surface map of an object. Several new quality metrics are introduced: outlier, resolvability, planarity, integration, return, and enclosed quality metrics. These metrics are used as part of a quality-based merge method, referred to here as a quality-weighted modified Kalman minimum variance (weighted-MKMV) estimation method. Experimental evidence is presented confirming that this approach can significantly reduce the total scanning time. This approach may be particularly useful for rapidly generating CAD models of real-world objects.
Publication date
AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Information Technology
Peer reviewedYes
NPARC number15196503
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Record identifier11017b86-8fc4-4c77-82ee-3dce2fe22ac2
Record created2010-06-10
Record modified2016-05-09
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