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TitleRotating Scans for Systematic Error Removal (In Proceedings)
inSymposium on Geometry Processing
Author(s) Fatemeh Abbasinejad, Yong J Kil, Andri Sharf, Nina Amenta
Keyword(s)Computer Graphics, Range Scanning
Year July 2009
LocationBerlin, Germany
DateJuly 15-17, 2009
Volume28
Number5
URLhttp://graphics.cs.ucdavis.edu/~fabbasi/SER/index.htm
Pages1319--1326
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Abstract Optical triangulation laser scanners produce errors at surface discontinuities and sharp features. These systematic errors are anisotropic. We examine the causes of these errors theoretically, and we study the correlation of systematic error with edge size and orientation experimentally. We then present a novel processing method for removing systematic errors, by combining scans taken at several different orientations. We apply an anisotropic filter to the separate scans, and use it to weight the data in a final combination step. Unlike previous approaches, our method does not require access to the scanner's internal data or firmware. We demonstrate the technique on data from laser range scanners by two different manufacturers.
Note This paper was awarded 2nd Best Paper at the Symposium on Geometry Processing 2009.
Scanned models can be downloaded at the Graphics and Geometry Lab Scanning Models Archive.
Research support for the authors is gratefully acknowledged: NSF grants CCF-0331736 and CCF--0635250.