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Motion Estimation of Articulated Objects from Perspective Views

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Articulated Motion and Deformable Objects (AMDO 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2492))

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Abstract

Motion estimation of articulated objects with two subparts from monocular images are studied in this paper for three cases: 1) one subpart translates, and the other one rotates around the joint; 2) the two rotation axes of the subparts are parallel to each other; 3) the two rotation axes of the subparts are perpendicular with each other. Three motion models are established respectively, and the conditions for a solution are discussed in detail, which shows that only 4, 5 and 6 image point correspondences are needed respectively for the three kinds of articulated motion estimation. The problem of how to distribute the points on the two subparts is also explained. Finally, a lot of simulated experiments are presented, validating the rightness and efficiency of our motion models.

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Author information

Authors and Affiliations

  1. Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, P.R. China, 200030

    Xiaoyun Zhang & Yuncai Liu

  2. Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, 61801

    Thomas S. Huang

Authors
  1. Xiaoyun Zhang
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  2. Yuncai Liu
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  3. Thomas S. Huang
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Maths, Computer Science Engineering School (EPS-UIB), C/Valldemossa km 7.5, PC 07071, Palma de Mallorca, Baleares, Spain

    Francisco José Perales (Director, Computer Graphics and Vision Group, Sub-Director) (Director, Computer Graphics and Vision Group, Sub-Director)

  2. Department of Computer Science, University of York, YO1 5DD, York, UK

    Edwin R. Hancock

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© 2002 Springer-Verlag Berlin Heidelberg

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Zhang, X., Liu, Y., Huang, T.S. (2002). Motion Estimation of Articulated Objects from Perspective Views. In: Perales, F.J., Hancock, E.R. (eds) Articulated Motion and Deformable Objects. AMDO 2002. Lecture Notes in Computer Science, vol 2492. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36138-3_14

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  • DOI: https://doi.org/10.1007/3-540-36138-3_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00149-2

  • Online ISBN: 978-3-540-36138-1

  • eBook Packages: Springer Book Archive

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