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Using Sparse Optical Flow for Two-Phase Gas Flow Capturing with Multiple Kinect

  • Kai Berger
  • Marc Kastner
  • Yannic Schroeder
  • Stefan Guthe
Chapter
Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

Abstract

The use of multiple Microsoft Kinect has become prominent in the last 2 years and enjoyed widespread acceptance. While several work has been published to mitigate quality degradations in the precomputed depth image, this work focuses on employing an optical flow suitable for dot patterns as employed in the Kinect to retrieve subtle scene data alterations for reconstruction. The method is employed in a multiple Kinect vision architecture to detect the interface of propane flow around occluding objects in air.

Keywords

Particle Image Velocimetry Optical Flow Particle Tracking Velocimetry Spot Pattern Visual Hull 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

Supplementary Videos are accessible under https://dl.dropbox.com/u/21912442/supplementary.zip. The authors would like to thank Manuel Martinez from KIT, Karlsruhe, who helped with generating synthetic depth images from the spot pattern images.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Kai Berger
    • 1
  • Marc Kastner
    • 2
  • Yannic Schroeder
    • 2
  • Stefan Guthe
    • 2
  1. 1.OeRCUniversity of OxfordOxfordUK
  2. 2.TU BraunschweigBraunschweigGermany

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