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    Abstract:

    This paper aims at recovering the shape of an object by using a common LCD projector and a digital camera. The projector is employed as a point light source for casting linear stripe onto the surface of an object. From the sequence of photos taken by a digital camera, the shape of an object can be recovered. In this paper, a method for projector calibration is proposed on the basis of camera calibration. In addition, a RGB linear structured light scheme is also proposed for recovering the shape of an object with complex color and texture. The experimental results show that dense point clouds can be obtained for further surface reconstruction. It can be concluded that such a system cheap but keeping relatively high accuracy can be considered as a replacement of expensive scanning systems.

    Reference
    [1] Bouguet JY, Perona P. 3D photography on your desk. In: Ahuja N, Desai U, eds. Proc. of Int’l Conf. on Computer Vision (ICCV). Bombay: IEEE Computer Society Press, 1998. 43-50.
    [2] Tao L, Sun CK, He L, Zhang YG, Ye SH. A color 3-D acquisition method based on structured-light scanning. Journal of Optoelectronics·Laser, 2006,17(1):111-114 (in Chinese with English abstract).
    [3] Sansoni G, Carocci M, Rodella R. Three-Dimensional vision based on a combination of gray-code and phase-shift light projection: Analysis and Compensation of the Systematic Errors. Applied Optics, 1999,38(31):6565-6573.
    [4] Li Z, Brian C, Seitz SM. Rapid shape acquisition using color structured light and multi-pass dynamic programming. In: Cortelazzo GM, Guerra C, eds. Proc. of the 1st Int’l Symp. on 3D Data Processing Visualization and Transmission (3DPVT). Padova: IEEE Computer Society Press, 2002. 24-36.
    [5] Tsai RY. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses. IEEE Journal of Robotics and Automation, 1987,RA-3(4):323-344.
    [6] Zhang YB, Lu RS, Fei YT. Multicolor pseudo-random array pattern projector and its calibration. Journal of Harbin Institute of Technology, 2004,36(1):59?62 (in Chinese with English abstract).
    [7] Lee JS, Jeong YH. CCD camera calibration and projection error analysis. In: Park G, ed. Proc. of the 4th Korea-Russia Int’l Symp. Ulsan: Piscataway, 2000. 50-55.
    [8] Pages J, Salvi J, Garcia R, Matabosch C. Overview of coded light projection techniques for automatic 3D profiling. In: Luo R, ed. Proc. of the 2003 IEEE Int’l Conf. on Robotics & Automation. Taipei: IEEE Computer Society Press, 2003. 133-138. 附中文参考文献:
    [2] 陶立,孙长库,何丽,张玉纲,叶声华.基于结构光扫描的彩色三维信息测量技术.光电子·激光,2006,17(1):111-114.
    [6] 张勇斌,卢荣胜,费业泰.机器视觉中彩色伪随机编码投影系统及其标定.哈尔滨工业大学学报,2004,36(1):59-62.
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郑作勇,姚 莉,姚婷婷,马利庄.一种简易的线结构光投影三维形状获取方法.软件学报,2006,17(zk):176-183

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History
  • Received:April 15,2006
  • Revised:September 11,2006
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