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On Tracking and Matching in Vision Based Navigation

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Image Analysis and Recognition (ICIAR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8815))

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Abstract

The paper presents a thorough comparative analysis of the feature tracking and the feature matching approaches applied to the visual navigation. The evaluation was performed on a synthetic dataset with perfect ground truth to assure maximum reliability of results. The presented results include the analysis of both the feature localization accuracy and the computational costs of different methods. Additionally, the distribution of the uncertainty of the features localization was analyzed and parametrized.

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Author information

Authors and Affiliations

  1. Institute of Control and Information Engineering, Poznan University of Technology, Poznan, Poland

    Adam Schmidt, Marek Kraft & Michal Fularz

Authors
  1. Adam Schmidt
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  2. Marek Kraft
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  3. Michal Fularz
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Corresponding author

Correspondence to Michal Fularz .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Porto, Porto, Portugal

    Aurélio Campilho

  2. Dept. of Electrical and Computer Eng., University of Waterloo, Waterloo, Ontario, Canada

    Mohamed Kamel

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© 2014 Springer International Publishing Switzerland

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Schmidt, A., Kraft, M., Fularz, M. (2014). On Tracking and Matching in Vision Based Navigation. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2014. Lecture Notes in Computer Science(), vol 8815. Springer, Cham. https://doi.org/10.1007/978-3-319-11755-3_51

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  • DOI: https://doi.org/10.1007/978-3-319-11755-3_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11754-6

  • Online ISBN: 978-3-319-11755-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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