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MOTION RECOVERY BASED ON FEATURE EXTRACTION FROM 2D IMAGES

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Book cover Computer Vision and Graphics

Part of the book series: Computational Imaging and Vision ((CIVI,volume 32))

Abstract

This paper presents a method for motion recovery from monocular images containing human motions. Image processing techniques, such as spatial filter, linear prediction, cross correlation, least square matching etc, are applied to extract feature points from 2D human figures with or without markers. A 3D skeleton human model is adopted with encoded angular constraints. Energy Function is defined to represent the residuals between extracted feature points and the corresponding points resulted from projecting the human model to the projection plane. Then a procedure for motion recovery is developed, which makes it feasible to generate realistic human animations

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REFERENCES

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Author information

Authors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University, 639798, Singapore

    Jianhui Zhao & Kwoh Chee Keong

  2. School of Computing, Curtin University of Technology, Perth, 6102, Australia

    Ling Li

Authors
  1. Jianhui Zhao
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  2. Ling Li
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  3. Kwoh Chee Keong
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Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    K. Wojciechowski

  2. Silesian University of Technology, Gliwice, Poland

    B. Smolka

  3. Silesian University of Technology, Gliwice, Poland

    H. Palus

  4. The University of Western Australia, Crawley, Australia

    R.S. Kozera

  5. Warsaw University of Technology, Warsaw, Poland

    W. Skarbek

  6. The University of Western Australia, Crawley, Australia

    L. Noakes

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© 2006 Springer

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Zhao, J., Li, L., Chee Keong, K. (2006). MOTION RECOVERY BASED ON FEATURE EXTRACTION FROM 2D IMAGES. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_157

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  • DOI: https://doi.org/10.1007/1-4020-4179-9_157

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-4178-5

  • Online ISBN: 978-1-4020-4179-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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