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Structure from Periodic Motion

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Spatial Coherence for Visual Motion Analysis (SCVMA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3667))

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Abstract

We show how to exploit temporal periodicity of moving objects to perform 3D reconstruction. The collection of period-separated frames serve as a surrogate for multiple rigid views of a particular pose of the moving target, thus allowing the use of standard techniques of multiview geometry. We motivate our approach using human motion capture data, for which the true 3D positions of the markers are known. We next apply our approach to image sequences of pedestrians captured with a camcorder. Applications of our proposed approach include 3D motion capture of natural and manmade periodic moving targets from monocular video sequences.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, 92093, USA

    Serge Belongie & Josh Wills

Authors
  1. Serge Belongie
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  2. Josh Wills
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Editor information

Editors and Affiliations

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

    W. James MacLean

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© 2006 Springer-Verlag Berlin Heidelberg

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Belongie, S., Wills, J. (2006). Structure from Periodic Motion. In: MacLean, W.J. (eds) Spatial Coherence for Visual Motion Analysis. SCVMA 2004. Lecture Notes in Computer Science, vol 3667. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11676959_2

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  • DOI: https://doi.org/10.1007/11676959_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32533-8

  • Online ISBN: 978-3-540-32534-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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