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A Hierarchical Model for the Recognition of Deformable Objects

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Computer Vision and Graphics (ICCVG 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5337))

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Abstract

This paper proposes a hierarchical model for the recognition of deformable objects. Object categories are modelled by multiple views, views in turn consist of several parts, and parts consist of several features. The main advantage of the proposed model is that its nodes can be tuned with regard to the spatial selectivity. Every node in a category, views or part can thus take on the shape of a simple bag of features or a geometrically selective constellation model including all forms in between. Together with the explicit modelling of multiple views this allows for the modelling of categories with high intra-class variance. Experimental results show a high precision for the recognition of a character from a cartoon data base.

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Author information

Authors and Affiliations

  1. Institute of Real-Time Learning Systems, University of Siegen, Hoelderlinstrasse 3, 57076, Siegen, Germany

    Martin Stommel & Klaus-Dieter Kuhnert

Authors
  1. Martin Stommel
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  2. Klaus-Dieter Kuhnert
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Editor information

Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008, Warsaw, Poland

    Leonard Bolc

  2. Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Księcia Trojdena 4, 02-109, Warsaw, Poland

    Juliusz L. Kulikowski

  3. Polish-Japanese Institute of Information Technology, The Silesian University of Technology, Institute of Computer Science, 86 Koszykowa St, 02-008, Warsaw, Poland

    Konrad Wojciechowski

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Stommel, M., Kuhnert, KD. (2009). A Hierarchical Model for the Recognition of Deformable Objects. In: Bolc, L., Kulikowski, J.L., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2008. Lecture Notes in Computer Science, vol 5337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02345-3_40

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  • DOI: https://doi.org/10.1007/978-3-642-02345-3_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02344-6

  • Online ISBN: 978-3-642-02345-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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