Fusion of Range Camera Photogrammetry: A Systematic Procedure for Improving 3-D Models Metric Accuracy

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DOIResolve DOI: http://doi.org/10.1109/TSMCB.2003.814282
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TypeArticle
Journal titleIEEE Transactions on Systems
Volume33
Issue4
Pages667676; # of pages: 10
AbstractThe generation of three-dimensional (3-D) digital models produced by optical technologies in some cases involves metric errors. This happens when small high-resolution 3-D images are assembled together in order to model a large object. In some applications, as for example 3-D modeling of Cultural Heritage, the problem of metric accuracy is a major issue and no methods are currently available for enhancing it. The authors present a procedure by which the metric reliability of the 3-D model, obtained through iterative alignments of many range maps, can be guaranteed to a known acceptable level. The goal is the integration of the 3-D range camera system with a close range digital photogrammetry technique. The basic idea is to generate a global coordinate system determined by the digital photogrammetric procedure, measuring the spatial coordinates of optical targets placed around the object to be modeled. Such coordinates, set as reference points, allow the proper rigid motion of few key range maps, including a portion of the targets, in the global reference system defined by photogrammetry. The other 3-D images are normally aligned around these locked images with usual iterative algorithms. Experimental results on an anthropomorphic test object, comparing the conventional and the proposed alignment method, are finally reported.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada; NRC Institute for Information Technology
Peer reviewedNo
NRC number46492
NPARC number8913967
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Record identifier57d658d0-b03b-48d9-ab4c-933c2daee995
Record created2009-04-22
Record modified2016-05-09
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