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Motion Information in the Phase Domain

  • Chapter
Video Registration

Part of the book series: The International Series in Video Computing ((VICO,volume 5))

Abstract

Analysis and fusion of information in video data usually require estimating the motion between two or more adjacent frames in the sequence. This process, which is commonly referred to as registration, has been widely studied in the literature for different applications such as remote sensing, robotics, and bio-medical imaging [5, 25]. Registration techniques typically assume that motion can be modeled using a given family of transformations such as rigid, affine, or Euclidean. Registration is performed by looking for a particular transformation within the family that optimizes some similarity or redundancy criterion, e.g. correlation coefficients or mutual entropy. Herein, we are interested in investigating the motion information contained in the phase domain. We are particularly motivated by applications that require registration at sub-pixel accuracy. Examples of such applications include super-resolution from multiple views [11, 12, 20, 30] or examination of same-patient MRI data in a clinical setting [6, 15]

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, University of Central Florida, 32816, Orlando, FL, USA

    Hassan Foroosh

  2. Dept. of Radiology, Harvard Medical School and Brigham & Women’s Hospital, 75 Francis Street, 02115, Boston, MA, USA

    W. Scott Hoge

Authors
  1. Hassan Foroosh
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  2. W. Scott Hoge
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Central Florida, Orlando, FL, 32816, USA

    Mubarak Shah

  2. Sarnoff Corporation CN5300, Princeton, NJ, 08543, USA

    Rakesh Kumar

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Foroosh, H., Hoge, W.S. (2003). Motion Information in the Phase Domain. In: Shah, M., Kumar, R. (eds) Video Registration. The International Series in Video Computing, vol 5. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0459-7_3

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  • DOI: https://doi.org/10.1007/978-1-4615-0459-7_3

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5087-3

  • Online ISBN: 978-1-4615-0459-7

  • eBook Packages: Springer Book Archive

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