Epipolar-based stereo tracking without explicit 3D reconstruction

Andre Gaschler, Darius Burschka, Gregory Hager

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a general framework for tracking image regions in two views simultaneously based on sum-of-squared differences (SSD) minimization. Our method allows for motion models up to affine transformations. Contrary to earlier approaches, we incorporate the well-known epipolar constraints directly into the SSD optimization process. Since the epipolar geometry can be computed from the image directly, no prior calibration is necessary. Our algorithm has been tested in different applications including camera localization, wide-baseline stereo, object tracking and medical imaging. We show experimental results on robustness and accuracy compared to the known ground truth given by a conventional tracking device.

Original languageEnglish (US)
Title of host publicationProceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
Pages1755-1758
Number of pages4
DOIs
StatePublished - 2010
Event2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul, Turkey
Duration: Aug 23 2010Aug 26 2010

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Other

Other2010 20th International Conference on Pattern Recognition, ICPR 2010
Country/TerritoryTurkey
CityIstanbul
Period8/23/108/26/10

Keywords

  • Epipolar geometry
  • Stereo tracking

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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