Using quality metrics with laser range scanners

  1. Get@NRC: Using quality metrics with laser range scanners (Opens in a new window)
DOIResolve DOI:
AuthorSearch for: ; Search for: ; Search for:
Journal titleThree-Dimensional Image Capture and Applications
Series titleProceedings of SPIE; Volume 6805
Pages68050G-168050G-12; # of pages: 12
Subjectadaptive scanning; quality metrics; range imaging; automated scanning; operator-guided scanning
AbstractWe have developed a series of new quality metrics that are generalizable to a variety of laser range scanning systems, including those acquiring measurements in the mid-field. Moreover, these metrics can be integrated into either an automated scanning system, or a system that guides a minimally trained operator through the scanning process. In particular, we represent the quality of measurements with regard to aliasing and sampling density for mid-field measurements, two issues that have not been well addressed in contemporary literature. We also present a quality metric that addresses the issue of laser spot motion during sample acquisition. Finally, we take into account the interaction between measurement resolution and measurement uncertainty where necessary. These metrics are presented within the context of an adaptive scanning system in which quality metrics are used to minimize the number of measurements obtained during the acquisition of a single range image.
Publication date
AffiliationNRC Institute for National Measurement Standards; National Research Council Canada
Peer reviewedYes
NPARC number21268153
Export citationExport as RIS
Report a correctionReport a correction
Record identifierc8e7df94-67d5-4946-9072-e59513fdf387
Record created2013-05-10
Record modified2017-09-13
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)
Date modified: