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An Evaluation of Image Feature Detectors and Descriptors for Robot Navigation

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Computer Vision and Graphics (ICCVG 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6375))

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Abstract

The detection and matching of feature points is crucial in many computer vision systems. Successful establishing of points correspondences between concurrent frames is important in such tasks as visual odometry, structure from motion or simultaneous localization and mapping. This paper compares of the performance of the well established, single scale detectors and descriptors and the increasingly popular, multi-scale approaches.

This project is partially founded by the Polish Ministry of Science and Higher Education, project number N N514 213238.

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Author information

Authors and Affiliations

  1. Institute of Control and Information Engineering, Poznań University of Technology, Piotrowo 3A, 60-965, Poznań, Poland

    Adam Schmidt, Marek Kraft & Andrzej Kasiński

Authors
  1. Adam Schmidt
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  2. Marek Kraft
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  3. Andrzej Kasiński
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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 Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences, Nowoursynowska 159, 02-776, Warsaw, Poland

    Leszek J. Chmielewski

  4. Institute of Computer Science, The Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Konrad Wojciechowski

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Schmidt, A., Kraft, M., Kasiński, A. (2010). An Evaluation of Image Feature Detectors and Descriptors for Robot Navigation. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2010. Lecture Notes in Computer Science, vol 6375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15907-7_31

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  • DOI: https://doi.org/10.1007/978-3-642-15907-7_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15906-0

  • Online ISBN: 978-3-642-15907-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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