Large depth-of-view portable three-dimensional laser scanner and its segmental calibration for robot vision

A portable 3D laser scanning system has been designed and built for robot vision. By tilting the charge coupled device (CCD) plane of portable 3D scanning system according to the Scheimpflug condition, the depth-of-view is successfully extended from less than 40 to 100 mm. Based on the tilted camera model, the traditional two-step camera calibration method is modified by introducing the angle factor. Meanwhile, a novel segmental calibration approach, i.e., dividing the whole work range into two parts and calibrating, respectively, with corresponding system parameters, is proposed to effectively improve the measurement accuracy of the large depth-of-view 3D laser scanner. In the process of 3D reconstruction, different calibration parameters are used to transform the 2D coordinates into 3D coordinates according to the different positions of the image in the CCD plane, and the measurement accuracy of 60 mu m is obtained experimentally. Finally, the experiment of scanning a lamina by the large depth-of-view portable 3D laser scanner used by an industrial robot IRB 4400 is also employed to demonstrate the effectiveness and high measurement accuracy of our scanning system. (C) 2007 Elsevier Ltd. All rights reserved.

[1]  Joaquim Salvi,et al.  An overview of the advantages and constraints of coded pattern projection techniques for autonomous navigation , 1997, Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97.

[2]  Olivier D. Faugeras,et al.  A theory of self-calibration of a moving camera , 1992, International Journal of Computer Vision.

[3]  Xavier Armangué,et al.  A comparative review of camera calibrating methods with accuracy evaluation , 2002, Pattern Recognit..

[4]  Alan M. McIvor,et al.  Accurate 3D measurement using a structured light system , 1998, Image Vis. Comput..

[5]  Ernest L. Hall,et al.  Measuring Curved Surfaces for Robot Vision , 1982, Computer.

[6]  Paul R. Cohen,et al.  Camera Calibration with Distortion Models and Accuracy Evaluation , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Olivier Faugeras,et al.  Three-Dimensional Computer Vision , 1993 .

[8]  Roland N. Ibbett The MU5 instruction pipeline , 1972, Comput. J..

[9]  Consolatina Liguori,et al.  Subpixel location of discrete target images in close-range camera calibration: a novel approach , 2007, Electronic Imaging.

[10]  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..

[11]  Pierre Graebling,et al.  Optical high-precision three-dimensional vision-based quality control of manufactured parts by use of synthetic images and knowledge for image-data evaluation and interpretation. , 2002, Applied optics.

[12]  Mumin Song,et al.  Overview of three-dimensional shape measurement using optical methods , 2000 .

[13]  Tom Duckett,et al.  3D modeling of indoor environments by a mobile robot with a laser scanner and panoramic camera , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[14]  Soren W. Henriksen,et al.  Manual of photogrammetry , 1980 .

[15]  Joaquim Salvi,et al.  An approach to coded structured light to obtain three dimensional information , 1998 .

[16]  William H. Press,et al.  Numerical recipes in C , 2002 .

[17]  Fadi Dornaika,et al.  Simultaneous robot-world and hand-eye calibration , 1998, IEEE Trans. Robotics Autom..

[18]  G. Hausler,et al.  Triangulation With Expanded Range Of Depth , 1985 .

[19]  Francois Blais,et al.  Eye-safe imaging and tracking laser scanner system for space applications , 1996, Defense, Security, and Sensing.

[20]  A. Prasad,et al.  Scheimpflug stereocamera for particle image velocimetry in liquid flows. , 1995, Applied optics.

[21]  Jim Baker,et al.  Rapid prototyping: practical approach to enabling reverse engineering , 2001, SPIE Optics East.

[22]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..