About this Journal Submit a Manuscript Table of Contents
Mathematical Problems in Engineering
Volume 2012 (2012), Article ID 460430, 15 pages
http://dx.doi.org/10.1155/2012/460430
Research Article

Fisheye-Lens-Based Visual Sun Compass for Perception of Spatial Orientation

1College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
2College of Information Science and Technology, Beijing Normal University, Beijing 100875, China
3College of Computing and Communication Engineering, Graduate University of the Chinese Academy of Sciences, Beijing 100049, China

Received 11 October 2011; Accepted 9 December 2011

Academic Editor: Sheng-yong Chen

Copyright © 2012 Liang Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. Y. Kim and H. Cho, “An active trinocular vision system of sensing indoor navigation environment for mobile robots,” Sensors and Actuators, A, vol. 125, no. 2, pp. 192–209, 2006. View at Publisher · View at Google Scholar · View at Scopus
  2. S. Y. Chen, Y. F. Li, and J. Zhang, “Vision processing for realtime 3-D data acquisition based on coded structured light,” IEEE Transactions on Image Processing, vol. 17, no. 2, pp. 167–176, 2008. View at Publisher · View at Google Scholar · View at Scopus
  3. K. M. Creer and M. Sanver, Methods in Palaeo-Magnetism, Elsevier, Armsterdam, The Netherlands, 1967.
  4. W. Roellf and V. H. Bezooijen, “Star sensor for autonomous attitude control and navigation,” in Optical Technologies for Aerospace Sensing, Proceedings of the SPIE, pp. 1–28, Boston, Mass, USA, November 1992.
  5. F. Cozman and E. Krotkov, “Robot localization using a computer vision sextant,” in Proceedings of the IEEE International Conference on Robotics and Automation, pp. 106–111, May 1995. View at Scopus
  6. M. C. Deans, D. Wettergreen, and D. Villa, “A sun tracker for planetary analog rovers,” in Proceedings of the 8th International Symposium on Artificial Intelligence, Robotics and Automation in Space, pp. 577–583, September 2005.
  7. A. Trebi-Ollennu, T. Huntsberger, Y. Cheng, E. T. Baumgartner, B. Kennedy, and P. Schenker, “Design and analysis of a sun sensor for planetary rover absolute heading detection,” IEEE Transactions on Robotics and Automation, vol. 17, no. 6, pp. 939–947, 2001. View at Publisher · View at Google Scholar · View at Scopus
  8. S. Y. Chen, H. Tong, and C. Cattani, “Markov models for image labeling,” Mathematical Problems in Engineering, vol. 2012, Article ID 814356, 18 pages, 2012.
  9. S. Y. Chen, H. Tong, Z. Wang, S. Liu, M. Li, and B. Zhang, “Improved generalized belief propagation for vision processing,” Mathematical Problems in Engineering, vol. 2011, Article ID 416963, 12 pages, 2011. View at Zentralblatt MATH
  10. J. Favill, Primer of Celestial Navigation, Mallock Press, 2007.
  11. D. Schneider, E. Schwalbe, and H. G. Maas, “Validation of geometric models for fisheye lenses,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 64, no. 3, pp. 259–266, 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. C. Bräuer-Burchardt and K. Voss, “A new algorithm to correct fish-eye- and strong wide-angle-lens-distortion from single images,” in Proceedings of the IEEE International Conference on Image Processing (ICIP '01), pp. 225–228, October 2001. View at Scopus
  13. C. Geyer and K. Daniilidis, “A unifying theory for central panoramic systems and practical implications,” in Proceedings of the European Conference on Computer Vision, pp. 445–462, 2000.
  14. X. Ying and Z. Hu, “Can we consider central catadioptric cameras and fisheye cameras within a unied imaging model,” in Proceedings of the European Conference on Computer Vision, pp. 442–455, 2004.
  15. Z. Y. Zhang, “Camera calibration,” in Emerging Topics in Computer Vision, G. Medioni and S. B. Kang, Eds., IMSC Press, 2004.
  16. J. Matas, O. Chum, M. Urban, and T. Pajdla, “Robust wide baseline stereo from maximally stable extremal regions,” in Proceedings of British Machine Vision Conference, vol. 21, pp. 384–393, 2002.
  17. A. Fitzgibbon, M. Pilu, and R. B. Fisher, “Direct least square fitting of ellipses,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, no. 5, pp. 476–480, 1999. View at Publisher · View at Google Scholar · View at Scopus