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International Conference Image Analysis and Recognition

ICIAR 2006: Image Analysis and Recognition pp 827–838Cite as

Towards Constrained Optimal 3D Tracking

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4141))

Abstract

In this paper, we present a method for optimal 3-dimensional tracking using interaction matrix. We developed two constraints to avoid the singularity and local minima of the interaction matrix. These constraints were combined with the minimization of tracking errors to identify suitable system configuration for tracking. Experiments were conducted to validate the method.

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References

  1. Nickels, K., Hutchinson, S.: Model-Based Tracking of Complex Articulated Objects. IEEE Transactions on Robotics and Automation 17(1), 28–36 (2001)

    Article  Google Scholar 

  2. Collewet, C., Chaumette, F.: Positioning a Camera with Respect to Planar Objects of Unknown Shape by Coupling 2-D Visual Servoing and 3-D Estimations. IEEE Transactions on Robotics and Automation 18(3), 322–333 (2002)

    Article  Google Scholar 

  3. Mezouar, Y., Abdelkader, H.H., Martinet, P., Chaumette, F.: Central Catadioptric Visual Servoing From 3D Straight Lines. In: Proc. of the 2004 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Seidai, Japan, pp. 343–348 (2004)

    Google Scholar 

  4. Espiau, B., Chaumette, F., Rives, P.: A New Approach to Visual Servoing in Robotics. IEEE Trans. on Robotics and Automation 8(6), 313–326 (1992)

    Article  Google Scholar 

  5. Cervera, E., et al.: Improving Image-Based Visual Servoing with Three-Dimensional Features. The International Journal of Robotics Research 22(10-11), 821–839 (2003)

    Article  Google Scholar 

  6. Chaumette, F.: Potential Problems of Stability and Covergence in Image-Based and Position-Based Visual Servoing. In: The Confluence of Vision and Control. LNCIS, vol. 237, pp. 66–78. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  7. Michel, H., Rives, P.: Singularities in the Determination of the Situation of a Robot Effector from the Perspective View of Three Points. Technical Report 1850, INRIA (February 1993)

    Google Scholar 

  8. Malis, E., Chaumette, F., Boudet, S.: 2-1/2-D Visual Servoing. IEEE Transactions on Robotics and Automation 15(2), 238–250 (1999)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong

    Huiying Chen & Youfu Li

Authors
  1. Huiying Chen
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  2. Youfu Li
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Editor information

Editors and Affiliations

  1. Departamento de Engenharia Electrotécnica e de Computadores da, Faculdade de Engenharia da, Universidade do Porto, Campus FEUP, 4200-465, Porto, Portugal

    Aurélio Campilho

  2. Electrical and Computer Engineering Department, University of Waterloo,  

    Mohamed S. Kamel

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© 2006 Springer-Verlag Berlin Heidelberg

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Chen, H., Li, Y. (2006). Towards Constrained Optimal 3D Tracking. In: Campilho, A., Kamel, M.S. (eds) Image Analysis and Recognition. ICIAR 2006. Lecture Notes in Computer Science, vol 4141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11867586_75

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  • DOI: https://doi.org/10.1007/11867586_75

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44891-4

  • Online ISBN: 978-3-540-44893-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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