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Evaluating Multiview Reconstruction

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Computer Vision Systems (ICVS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5008))

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Abstract

We survey the state of evaluation in current multiview reconstruction algorithms, with a particular focus on uncalibrated reconstruction from video sequences. We introduce a new evaluation framework, with high quality ground truth, as a vehicle for accelerating research in the area. Our source code is also freely available under the GNU General Public License, (GPL); a first for complete end-to-end reconstruction systems.

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Authors and Affiliations

  1. University of Toronto, Toronto, ON M5S 3G4, Canada

    Keir Mierle & W. James Maclean

Authors
  1. Keir Mierle
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  2. W. James Maclean
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Editor information

Antonios Gasteratos Markus Vincze John K. Tsotsos

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© 2008 Springer-Verlag Berlin Heidelberg

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Mierle, K., Maclean, W.J. (2008). Evaluating Multiview Reconstruction. In: Gasteratos, A., Vincze, M., Tsotsos, J.K. (eds) Computer Vision Systems. ICVS 2008. Lecture Notes in Computer Science, vol 5008. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79547-6_22

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  • DOI: https://doi.org/10.1007/978-3-540-79547-6_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79546-9

  • Online ISBN: 978-3-540-79547-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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