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International Workshop on Vision Algorithms

IWVA 1999: Vision Algorithms: Theory and Practice pp 85–99Cite as

Direct Recovery of Planar-Parallax from Multiple Frames

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1883))

Abstract

In this paper we present an algorithm that estimates dense planar-parallax motion from multiple uncalibrated views of a 3D scene. This generalizes the “plane + parallax” recovery methods to more than two frames. The parallax motion of pixels across multiple frames (relative to a planar surface) is related to the 3D scene structure and the camera epipoles. The parallax field, the epipoles, and the 3D scene structure are estimated directly from image brightness variations across multiple frames, without pre-computing correspondences.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science and Applied Math, The Weizmann Inst. of Science, Rehovot, Israel

    Michal Irani & Meir Cohen

  2. Microsoft Research, One Microsoft Way, Redmond, WA, 98052, USA

    P. Anandan

Authors
  1. Michal Irani
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  2. P. Anandan
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  3. Meir Cohen
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Editor information

Editors and Affiliations

  1. INRIA Rhône-Alpes, 655 avenue de l’Europe, Montbonnot, 38330, France

    Bill Triggs

  2. Department of Engineering Science, Oxford University, 19 Parks Road, OX1 3PJ, UK

    Andrew Zisserman

  3. Microsoft Research, Redmond, WA, 98052-6399, USA

    Richard Szeliski

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© 2000 Springer-Verlag Berlin Heidelberg

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Cite this paper

Irani, M., Anandan, P., Cohen, M. (2000). Direct Recovery of Planar-Parallax from Multiple Frames. In: Triggs, B., Zisserman, A., Szeliski, R. (eds) Vision Algorithms: Theory and Practice. IWVA 1999. Lecture Notes in Computer Science, vol 1883. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44480-7_6

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  • DOI: https://doi.org/10.1007/3-540-44480-7_6

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67973-8

  • Online ISBN: 978-3-540-44480-0

  • eBook Packages: Springer Book Archive

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