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International Conference on Computer Analysis of Images and Patterns

CAIP 2015: Computer Analysis of Images and Patterns pp 501–512Cite as

Where is My Cup? - Fully Automatic Detection and Recognition of Textureless Objects in Real-World Images

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9256))

Abstract

In this work, we propose a new method for fully automatic detection and recognition of textureless objects present in complex visual scenes. While most approaches only deal with shape matching, our approach considers objects both in terms of low-level features and high-level information, and represents objects’ view-based templates as trees. Multi-level matching increases algorithm robustness, while the new tree structure of the template reduces its computational burden. We have evaluated our algorithm on the CMU dataset consisting of objects under arbitrary viewpoints and in cluttered environment. Our proposed approach has shown excellent performance, outperforming state-of-the-art methods.

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Author information

Authors and Affiliations

  1. University of Gloucestershire, Cheltenham, GL50 2RH, UK

    Joanna Isabelle Olszewska

Authors
  1. Joanna Isabelle Olszewska
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Correspondence to Joanna Isabelle Olszewska .

Editor information

Editors and Affiliations

  1. University of Malta, Msida, Malta

    George Azzopardi

  2. University of Groningen, Groningen, The Netherlands

    Nicolai Petkov

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Olszewska, J.I. (2015). Where is My Cup? - Fully Automatic Detection and Recognition of Textureless Objects in Real-World Images. In: Azzopardi, G., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2015. Lecture Notes in Computer Science(), vol 9256. Springer, Cham. https://doi.org/10.1007/978-3-319-23192-1_42

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  • DOI: https://doi.org/10.1007/978-3-319-23192-1_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23191-4

  • Online ISBN: 978-3-319-23192-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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