Wide-angle camera distortions and non-uniform illumination in mobile robot tracking

Abstract In this paper some fundamentals and solutions to accompanying problems in vision system design for mobile robot tracking are presented. The main topics are correction of camera lens distortion and compensation of non-uniform illumination. Both correction methods contribute to vision system performance if implemented in the appropriate manner. Their applicability is demonstrated by applying them to vision for robot soccer. The lens correction method successfully corrects the distortion caused by the camera lens, thus achieving a more accurate and precise estimation of object position. The illumination compensation improves robustness to irregular and non-uniform illumination that is nearly always present in real conditions.

[1]  Luc Van Gool,et al.  The cascaded Hough transform , 1997, Proceedings of International Conference on Image Processing.

[2]  Bostjan Likar,et al.  Retrospective Correction of MR Intensity Inhomogeneity by Information Minimization , 2000, MICCAI.

[3]  Gordon Wyeth,et al.  Robust adaptive vision for robot soccer , 2000 .

[4]  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..

[5]  Carl G. Looney,et al.  Pattern recognition using neural networks , 1997 .

[6]  Carl G. Looney,et al.  Pattern recognition using neural networks: theory and algorithms for engineers and scientists , 1997 .

[7]  S. Kovacic,et al.  Nonparametric, Model-Based Radial Lens Distortion Correction Using Tilted Camera Assumption , 2002 .

[8]  Gary Bradski,et al.  Computer Vision Face Tracking For Use in a Perceptual User Interface , 1998 .

[9]  Eva Savina Malinverni,et al.  PHOTOINTERPRETATION AND SMALL SCALE STEREOPLOTTING WITH DIGITALLY RECTIFIED PHOTOGRAPHS WITH GEOMETRICAL CONSTRAINTS 1 , 2001 .

[10]  Manuela M. Veloso,et al.  Fast and inexpensive color image segmentation for interactive robots , 2000, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113).

[11]  Viergever,et al.  Retrospective shading correction based on entropy minimization , 2000, Journal of microscopy.

[12]  Randy Sargent,et al.  The importance of fast vision in winning the First Micro-Robot World Cup Soccer Tournament , 1997, Robotics Auton. Syst..

[13]  Toms Pajdla,et al.  Correcting Radial Lens Distortion without Knowledge of 3-D Structure , 1997 .

[14]  Carsten Rother,et al.  A New Approach for Vanishing Point Detection in Architectural Environments , 2000, BMVC.

[15]  Drago Matko,et al.  Robust and efficient vision system for mobile robots control—application to soccer robots , 2001 .

[16]  Heekuck Oh,et al.  Neural Networks for Pattern Recognition , 1993, Adv. Comput..