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Metric 3D Surface Reconstruction from Uncalibrated Image Sequences

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3D Structure from Multiple Images of Large-Scale Environments (SMILE 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1506))

Abstract

Modeling of 3D objects from image sequences is one of the challenging problems in computer vision and has been a research topic for many years. Important theoretical and algorithmic results were achieved that allow to extract even complex 3D scene models from images. One recent effort has been to reduce the amount of calibration and to avoid restrictions on the camera motion. In this contribution an approach is described which achieves this goal by combining state-of-the-art algorithms for uncalibrated projective reconstruction, self-calibration and dense correspondence matching.

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Author information

Authors and Affiliations

  1. K.U.Leuven, ESAT-PSI, Kard. Mercierlaan 94, B-3001, Heverlee, Belgium

    Marc Pollefeys, Reinhard Koch, Maarten Vergauwen & Luc Van Gool

Authors
  1. Marc Pollefeys
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  2. Reinhard Koch
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  3. Maarten Vergauwen
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  4. Luc Van Gool
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Editor information

Editors and Affiliations

  1. ESAT-PSI, Katholieke Universiteit Leuven, Kardinaal Mercilaan 9, B-3001, Leuven, Belgium

    Reinhard Koch  & Luc Van Gool  & 

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© 1998 Springer-Verlag Berlin Heidelberg

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Pollefeys, M., Koch, R., Vergauwen, M., Van Gool, L. (1998). Metric 3D Surface Reconstruction from Uncalibrated Image Sequences. In: Koch, R., Van Gool, L. (eds) 3D Structure from Multiple Images of Large-Scale Environments. SMILE 1998. Lecture Notes in Computer Science, vol 1506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49437-5_10

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  • DOI: https://doi.org/10.1007/3-540-49437-5_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65310-3

  • Online ISBN: 978-3-540-49437-9

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