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International Conference on Autonomous Agents and Multiagent Systems

AAMAS 2011: Advanced Agent Technology pp 270–271Cite as

AnySURF: Flexible Local Features Computation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7068))

Abstract

The use of computer vision in autonomous robotics has been studied for decades. Recently, applications such as autonomous vision-based vehicle navigation [1], 3-D localization and mapping [6,4,3] and object recognition [5] have gained popularity due to the combination of increased processing power, new algorithms with real-time performance and the advancements in high quality, low-cost digital cameras. These factors enable autonomous robots to perform complex, realtime, tasks using visual sensors.

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References

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Author information

Authors and Affiliations

  1. Computer Science Department, Bar Ilan University, Israel

    Eran Sadeh-Or & Gal A. Kaminka

Authors
  1. Eran Sadeh-Or
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  2. Gal A. Kaminka
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Editor information

Editors and Affiliations

  1. Technische Universiteit, Sectie Filosofie, Postbus 5015, 2600, Delft, GA, The Netherlands

    Francien Dechesne

  2. Department of Social Informatics, Kyoto University, Yoshida-Honmachi, 606-8501, Sakyo-ku, Kyoto, Japan

    Hiromitsu Hattori

  3. Department of Software Technology, Technische Universiteit, Mekelweg 4, 2628, Delft, CD, The Netherlands

    Adriaan ter Mors

  4. Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Camino de Vera s/n, 40622, Valencia, Spain

    Jose Miguel Such

  5. Department of Computer Science, Linnaeus University, 351 95, Växjö, Sweden

    Danny Weyns

  6. University of Utrecht, PO Box 80.089, 3508 TB, Utrecht, the Netherlands

    Frank Dignum

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© 2012 Springer-Verlag Berlin Heidelberg

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Sadeh-Or, E., Kaminka, G.A. (2012). AnySURF: Flexible Local Features Computation. In: Dechesne, F., Hattori, H., ter Mors, A., Such, J.M., Weyns, D., Dignum, F. (eds) Advanced Agent Technology. AAMAS 2011. Lecture Notes in Computer Science(), vol 7068. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27216-5_17

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  • DOI: https://doi.org/10.1007/978-3-642-27216-5_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27215-8

  • Online ISBN: 978-3-642-27216-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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