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Syntactic Algorithm of Two-Dimensional Scene Analysis for Unmanned Flying Vehicles

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7594))

Abstract

In this paper the approach to on-line object recognition for autonomous flying agent is considered. The method is divided into two parts. First the algorithm for scene objects vectorization is introduced. As the second step of the overall method we present the rotation and scale invariant algorithm for vectorized object identification based on syntactic language.

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References

  1. Bielecka, M., Skomorowski, M., Bielecki, A.: Fuzzy syntactic approach to pattern recognition and scene analysis. In: Proceedings of the 4th International Conference on Informatics in Control, Automatics and Robotics ICINCO 2007, ICSO Intelligent Control Systems and Optimization, Robotics and Automation, vol. 1, pp. 29–35 (2007)

    Google Scholar 

  2. Filliat, D., Mayer, J.A.: Map-based navigation in mobile robots. A review of localization strategies. Journal of Cognitive Systems Research 4, 243–283 (2003)

    Article  Google Scholar 

  3. Flasiński, M.: On the parsing of deterministic graph languages for syntactic pattern recognition. Pattern Recognition 26, 1–16 (1993)

    Article  MathSciNet  Google Scholar 

  4. Katsev, M., Yershova, A., Tovar, B., Ghrist, R., LaValle, S.M.: Mapping and pursuit-evasion strategies for a simple wall-following robot. IEEE Transactions on Robotics 27, 113–128 (2011)

    Article  Google Scholar 

  5. Muratet, L., Doncieux, S., Briere, Y., Meyer, J.A.: A contribution to vision-based autonomous helicopter flight in urban environments. Robotics and Autonomous Systems 50, 195–229 (2005)

    Article  Google Scholar 

  6. Sinopoli, B., Micheli, M., Donato, G., Koo, T.J.: Vision based navigation for an unmanned aerial vehicle. In: Proceedings of the International Conference on Robotics and Automation ICRA, vol. 2, pp. 1757–1764 (2001)

    Google Scholar 

  7. Skomorowski, M.: Use of random graph parsing for scene labeling by probabilistic relaxation. Pattern Recognition Letters 20, 949–956 (1999)

    Article  Google Scholar 

  8. Skomorowski, M.: Syntactic recognition of syntactic patterns by means of random graph parsing. Pattern Recognition Letters 28, 572–581 (2006)

    Article  Google Scholar 

  9. Tadeusiewicz, R.: Vision Systems of Industrial Robots. WNT, Warszawa (1992)

    Google Scholar 

  10. Tadeusiewicz, R.: A visual navigation system for a mobile robot with limited computational requirements. Problemy Eksploatacji 4, 205–218 (2008)

    Google Scholar 

  11. Tadeusiewicz, R.: Medical Image Understanding Technology. Springer, Heidelberg (2004)

    Book  MATH  Google Scholar 

  12. Tadeusiewicz, R.: Automatic image understanding - a new paradigm for intelligent medical image analysis. Bio-Algorithms and Med-Systems 2(3), 3–9 (2006)

    Google Scholar 

  13. Tadeusiewicz, R., Flasiński, M.: Pattern Recognition. Polish Scientific Publishers PWN, Warsaw (1991)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Bielecki, A., Buratowski, T., Śmigielski, P. (2012). Syntactic Algorithm of Two-Dimensional Scene Analysis for Unmanned Flying Vehicles. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2012. Lecture Notes in Computer Science, vol 7594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33564-8_37

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  • DOI: https://doi.org/10.1007/978-3-642-33564-8_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33563-1

  • Online ISBN: 978-3-642-33564-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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