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Modeling of Elastic Behavior of 3D Deformable Objects from Range and Tactile Imaging

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Image Analysis and Recognition (ICIAR 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5627))

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Abstract

The paper presents a joint sensing strategy that combines tactile probing and range imaging for the mapping of the elastic properties that characterize 3D deformable objects. A feedforward neural network architecture is employed in an original manner to model the complex relationship between the surface deformation and the forces exemplified in non-rigid bodies. Experimental results are presented for objects made of materials with different elastic behaviors and for their different deformation stages.

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Author information

Authors and Affiliations

  1. University of Ottawa, SITE, 800 King Edward, Ottawa, ON, K1N6N5, Canada

    Ana-Maria Cretu, Pierre Payeur & Emil M. Petriu

Authors
  1. Ana-Maria Cretu
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  2. Pierre Payeur
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  3. Emil M. Petriu
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Waterloo, N2L 3G1, Waterloo, Ontario, Canada

    Mohamed Kamel

  2. Faculty of Engineering, Institute of Biomedical Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio Campilho

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© 2009 Springer-Verlag Berlin Heidelberg

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Cretu, AM., Payeur, P., Petriu, E.M. (2009). Modeling of Elastic Behavior of 3D Deformable Objects from Range and Tactile Imaging. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2009. Lecture Notes in Computer Science, vol 5627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02611-9_70

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  • DOI: https://doi.org/10.1007/978-3-642-02611-9_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02610-2

  • Online ISBN: 978-3-642-02611-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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