IJIGSP Vol. 1, No. 1, 8 Oct. 2009
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3D reconstruction, extrinsic calibration, laser range finder
This paper describes a novel 3 dimensional color measurement system. After 3 kinds of geometrical features are analyzed, the line features were selected. A calibration board with right-angled triangle outline was designed to improve the calibration precision. For this system, two algorithms are presented. One is the calibration algorithm between 2 dimensional laser range finder (2D LRF), while the other is for 2D LRF and the color camera. The result parameters were obtained through solving the constrain equations by the correspond data between the 2D LRF and other two sensors. The 3D color reconstruction experiments of real data prove the effectiveness and the efficient of the system and the algorithms.
Ganhua Li,Li Dong,Ligong Pan,Fan Henghai, "The Calibration Algorithm of a 3D Color Measurement System based on the Line Feature", IJIGSP, vol.1, no.1, pp.17-24, 2009. DOI: 10.5815/ijigsp.2009.01.03
[1]V. Brajovic, K. Mori, and N. Jankovic, “100 Frames/s Cmos Range Image Sensor,” Digest of Technical Papers, 2001 IEEE International Solid-State Circuits Conference, pp. 256, 257 and 453, February 2001.
[2]L. D. Reid, “Projective Calibration of A Laser-stripe Range Finder,” Image and Vision Computing, vol.14, no.9, pp.659-666, October 1996.
[3]H. Baltzakis, A. Argyros, and P. Trahanias, “Fusion of Laser and Visual Data for Robot Motion Planning and Collision Avoidance,” International Journal of Machine Vision and Applications, vol.15, no. 2, pp. 92-100, 2003.
[4]T. Hong, R. Bostelman, and R. Madhavan, “Obstacle Detection Using A TOF Range Camera for Indoor AGV,” Navigation, PerMIS 2004, Gaithersburg, MD, June 2004.
[5]I. Bauermann, E. Steinbach, “Joint Calibration of A Range and Visual Sensor for the Acquisition of RGBZ Concentric Mosaics”, VMV2005, November 2005.
[6]J. Forest, J. Salvi, "A Review of Laser Scanning Threedimensional Digitizers,” In IEEE/RSJ International Conference on Intelligent Robots and System. EPFL Lausanne, Switzerland, vol.1, pp. 73-78, 2002.
[7]J. Davis and X. Chen, “A Laser Range Scanner Designed for Minimum Calibration Complexity,” In 2001 IEEE Third International Conference on 3D Digital Imaging and Modeling, Canada, pp. 91-98, 2001.
[8]Q. L. Zhang, R. Pless. Extrinsic calibration of a camera and laser range finder (improves camera calibration). In 2004 IEEE/RSJ International Conference on Intelligent Robots and systems, Sendai, Japan, 2004, 2301~2306.
[9]I. Bauermann, E. Steinbach. Joint calibration of a range and visual sensor for the acquisition of RGBZ concentric mosaics. VMV2005, November 2005.
[10]S. Wasielewski, and O. Strauss. Calibration of a multisensor system laser rangefinder/camera. Proceedings of the Intelligent Vehicles '95 Symposium, Sep. 25-Sep. 26, 1995, Detroit, USA Sponsored by IEEE Industrial Electronics Society, 1995, 472~477.
[11]J. Stoer, and R. Burlisch. Introduction to Numerical Analysis. Springer Verlag New York Inc, 1980.
[12]G. Q. Wei, and S. D. Ma, “Implicit and Explicit Camera Calibration: Theory and Experiments,” IEEE Transaction Pattern Analysis and Machine Intelligence, 16 (5): 169-180, 1994.
[13]G. Q. Wei, and S. D. Ma, “Implicit and Explicit Camera Calibration: Theory and Experiments,” IEEE Transaction Pattern Analysis and Machine Intelligence, 16 (5): 169-180, 1994.
[14]H. Wang, “The Calculation of the Distance between Beeline and dot,” Journal of Shangluo Teachers College of China, vol. 19, no.2, pp.16-19, 121, June 2005.