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URN: urn:nbn:de:0030-drops-15022
URL: http://drops.dagstuhl.de/opus/volltexte/2008/1502/
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Gumhold, Stefan ; König, Sören

Image-Based Motion Compensation for Structured Light Scanning of Dynamic Surfaces

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Abstract

Structured light scanning systems based on temporal pattern codification produce dense and robust results on static scenes but behave very poorly when applied to dynamic scenes in which objects are allowed to move or to deform during the acquisition process. The main reason for this lies in the wrong combination of encoded correspondence information because the same point in the projector pattern sequence can map to different points within the camera images due to depth changes over time. We present a novel approach suitable for measuring and compensating such kind of pattern motion. The described technique can be combined with existing active range scanning systems designed for static surface reconstruction making them applicable for the dynamic case. We demonstrate the benefits of our method by integrating it into a gray code based structured light scanner, which runs at thirty 3d scans per second.

BibTeX - Entry

@InProceedings{gumhold_et_al:DSP:2008:1502,
  author =	{Stefan Gumhold and S{\"o}ren K{\"o}nig},
  title =	{Image-Based Motion Compensation for Structured Light Scanning of Dynamic Surfaces},
  booktitle =	{Visual Computing - Convergence of Computer Graphics and Computer Vision},
  year =	{2008},
  editor =	{Markus Gross and Heinrich M{\"u}ller and Hans-Peter Seidel and Harry Shum},
  number =	{07171},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2008/1502},
  annote =	{Keywords: 3d scanning, motion compensation, optical flow, structured light, dynamic surfaces}
}

Keywords: 3d scanning, motion compensation, optical flow, structured light, dynamic surfaces
Seminar: 07171 - Visual Computing - Convergence of Computer Graphics and Computer Vision
Issue Date: 2008
Date of publication: 28.05.2008


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