Image-Based Registration of 3D-Range Data Using Feature
Surface Elements
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Forschungsinteressen
Geometric Modelling, Subdivision, Digital Geometry Processing, Computer Graphics in Medical Applications |
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Publikationen
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G.H.Bendels, P.Degener R.Wahl, M.Körtgen, R.Klein,
"Image-Based Registration of 3D-Range Data Using Feature
Surface Elements", 5th International Symposium on
Virtual Reality, Archaeology and Cultural Heritage (VAST
2004) paper bibtex-Eintrag
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Digitizing real-life
objects via range scanners, stereo vision or tactile
sensors usually requires the composition of multiple
range images. In this paper we exploit intensity images
often recorded with the range data and propose a fully
automatic registration technique using 2D-image features
with intrinsic scale information for finding
corresponding points on the 3D-views. In our approach,
the fine registration of two range images is performed
by first aligning the feature points themselves,
followed by a so-called constrained-domain alignment
step. In the latter, rather than feature points, we
consider feature surface elements that are derived using
the scale information inherently established with the
2D-features. The global registration error is minimized
using graph relaxation techniques to mediate the
transformations required to align the multiple range
images. We demonstrate the power and feasibility of our
method by a case-study in the cultural heritage domain.
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