COMPARISON OF GLOBAL-APPEARANCE TECHNIQUES APPLIED TO VISUAL MAP BUILDING AND LOCALIZATION

Francisco Amorós, Luis Payá, Oscar Reinoso, Luis M. Jiménez

2012

Abstract

Techniques based on the global appearance of visual information have proved to be a robust alternative in the field of robotic mapping and localization. However, they present some critical issues that must be studied when trying to build an application that works in real time. In this paper, we review and compare several methods to build a global descriptor of panoramic scenes and we study the critical parameters that make their applicable or not in real mapping and localizations tasks, such as invariance against rotations, computational costs and accuracy in robot localization. All the experiments have been carried out with omnidirectional images captured in a real environment under realistic lighting conditions.

References

  1. Friedman, A. (1979). Framing pictures: The role of knowledge in automatized encoding and memory for gist. In Journal of Experimental Psychology: General, 108:316-355.
  2. Gil, A., Martinez, O., Ballesta, M., and Reinoso, O. (2009). A comparative evaluation of interest point detectors and local descriptors for visual slam. SPRINGER Machine Vision and Applications.
  3. Krose, B., Bunschoten, R., Hagen, S., Terwijn, B., and Vlassis, N. (2007). Visual homing in enviroments with anisotropic landmark distrubution. In Autonomous Robots, 23(3), 2007, pp. 231-245.
  4. Leonardis, A. and Jogan, M. (2000). Robust localization using eigenspace of spinning-images. In IEEE Workshop Omnidirectional Vision. Proceedings of the IEEE Workshop on Omnidirectional Vision, IEEE Computer Society,pp. 37-44.
  5. Menegatti, E., Maeda, T., and Ishiguro, H. (2004). Imagebased memory for robot navigation using properties of omnidirectional images. In Robotics and Autonomous Systems. Vol. 47, No. 4, pp. 251-276.
  6. Moeller, R., Vardy, A., Kreft, S., and Ruwisch, S. (2007). Visual homing in enviroments with anisotropic landmark distrubution. In Autonomous Robots, 23(3), 2007, pp. 231-245.
  7. Oliva, A. and Torralba, A. (2001). Modeling the shape of the scene: a holistic representation of the spatial envelope. In International Journal of Computer Vision, Vol. 42(3): 145-175.
  8. Paya, L., Fenandez, L., Reinoso, O., Gil, A., and Ubeda, D. (2009). Appearance-based dense maps creation: Comparison of compression techniques with panoramic images. In 6th Int Conf on Informatics in Control, Automation and Robotics. Ed. INSTICC PRESS ISBN: 978-989-674-000-9 - pp.250-255.
  9. Thrun, S. (2003). Robotic mapping: A survey, in exploring artificial intelligence. In The New Milenium, pp. 1-35. Morgan Kaufmann Publishers, San Francisco, USA.
  10. Torralba, A. (2003). Contextual priming for object detection. In International Journal of Computer Vision, Vol. 53(2), 169-191.
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Paper Citation


in Harvard Style

Amorós F., Payá L., Reinoso O. and M. Jiménez L. (2012). COMPARISON OF GLOBAL-APPEARANCE TECHNIQUES APPLIED TO VISUAL MAP BUILDING AND LOCALIZATION . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-04-4, pages 395-398. DOI: 10.5220/0003864703950398


in Bibtex Style

@conference{visapp12,
author={Francisco Amorós and Luis Payá and Oscar Reinoso and Luis M. Jiménez},
title={COMPARISON OF GLOBAL-APPEARANCE TECHNIQUES APPLIED TO VISUAL MAP BUILDING AND LOCALIZATION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={395-398},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003864703950398},
isbn={978-989-8565-04-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)
TI - COMPARISON OF GLOBAL-APPEARANCE TECHNIQUES APPLIED TO VISUAL MAP BUILDING AND LOCALIZATION
SN - 978-989-8565-04-4
AU - Amorós F.
AU - Payá L.
AU - Reinoso O.
AU - M. Jiménez L.
PY - 2012
SP - 395
EP - 398
DO - 10.5220/0003864703950398