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Using Active Illumination for Accurate Variational Space-Time Stereo

  • Sergey Kosov
  • Thorsten Thormählen
  • Hans-Peter Seidel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6688)

Abstract

This paper addresses the problem of space-time stereo with active illumination and presents a formulation of this problem in the variational framework. Variational problems of this scale are computationally expensive to solve directly. We overcome this challenge by showing that speed-improving techniques, as the full-multi-grid and the multi-level-adaptation techniques, can be applied. We evaluate the performance of our method on 3 ground-truth datasets. The experimental results for synthetic and real datasets show that the combination of active illumination and variational space-time stereo improves the quality of the reconstruction on average by up to 3.1 times compared to a reconstruction from a single passive stereo image pair without active illumination.

Keywords

Error Threshold Stereo Pair Variational Framework Disparity Estimation Smoothness Parameter 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Sergey Kosov
    • 1
  • Thorsten Thormählen
    • 1
  • Hans-Peter Seidel
    • 1
  1. 1.Max-Planck-Institut Informatik (MPII)SaarbrückenGermany

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