Reconstruction with the calibrated SYCLOP sensor

In this paper we present a method of calibrating the omnidirectional sensor used in our laboratory and named SYCLOP ("Conic System for Localization and Perception"). In order to have better precision than that obtained in classical applications using this kind of sensor, we highlight the importance of calibration for the whole sensor. After this step we validate our model by a reconstruction of objects, and of an environment from two different methods, the first based on a commercial software 3DS Max/sup (R)/ and the second based on a simulator developed by us and taking parameters determined in the previous stage. The real and calculated pictures are compared, to estimate the error of reconstruction. The last part of this paper presents results obtained with the SYCLOP simulator and an experimental phase.

[1]  Ernest L. Hall,et al.  Dynamic omnidirectional vision for mobile robots , 1986, J. Field Robotics.

[2]  Kostas Daniilidis,et al.  Catadioptric camera calibration , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[3]  Pascal Vasseur,et al.  Calibration of the omnidirectional vision sensor: SYCLOP , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[4]  Cyril Cauchois,et al.  Technique for calibrating an omnidirectional sensor , 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).

[5]  R. Mohr,et al.  What accuracy for 3D measurements with cameras? , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[6]  Thomas Skordas,et al.  An optimal solution for mobile camera calibration , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[7]  Roger Y. Tsai,et al.  A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses , 1987, IEEE J. Robotics Autom..

[8]  Thomas Skordas,et al.  An Optimal Solution for Mobile Camera Calibration , 1990, ECCV.

[9]  Yasushi Yagi,et al.  Real-time omnidirectional image sensor (COPIS) for vision-guided navigation , 1994, IEEE Trans. Robotics Autom..

[10]  Ernest L. Hall,et al.  Omnidirectional Dynamic Vision Positioning For A Mobile Robot , 1986 .

[11]  Anup Basu,et al.  Panoramic video with predictive windows for telepresence applications , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[12]  Shree K. Nayar,et al.  A theory of catadioptric image formation , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).