• Frontiers of Optoelectronics
  • Vol. 5, Issue 4, 395 (2012)
Zhen GUO, Xu LIU*, Han WANG, and Zhenrong ZHENG
Author Affiliations
  • State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China
  • show less
    DOI: 10.1007/s12200-012-0278-6 Cite this Article
    Zhen GUO, Xu LIU, Han WANG, Zhenrong ZHENG. An ellipse detection method for 3D head image fusion based on color-coded mark points[J]. Frontiers of Optoelectronics, 2012, 5(4): 395 Copy Citation Text show less
    References

    [1] Fang Z Y. The research of there-dimension face reconstruction system. Dissertation for the Master Degree. Shanghai: East China Normal University, 2008 (in Chinese)

    [2] D’Apuzzo N. Overview of 3D surface digitization technologies in Europe. In: Proceedings of SPIE-The International Society for Optical Engineering, 2006, 6056: 605605-605606

    [3] Wan R, Chen C Y, Yang A K. Application of registration technique in 3D reconstruction. Journal for instrument and apparatus user, 2008, 15(2): 55-56 (in Chinese)

    [4] Xie Z X, Xu S. A survey on the ICP algorithm and its variants in registration of 3D point clouds. Periodical of Ocean University of China, 2010, 40(1): 99-103 (in Chinese)

    [5] Gu J B. Research on fusion and reperforating of 3D scanning system. Dissertation for the Master Degree. Nanjing: Southeast University, 2008, 8-16 (in Chinese)

    [6] Ouyang X B, Zong Z J, Xiong H Y. An automatic registration method for point-clouds based on marked points. Journal of Image and Graphics, 2008, 2(13): 298-301 (in Chinese)

    [7] Yang W G. Mark point recognition in 3D scanning system and stereo matching of face image. Dissertation for the Master Degree. Nanjing: Southeast University, 2008, 8-16 (in Chinese)

    [8] Liang Y B, Deng W Y, Luo X P, Lv N G. Automatic registration method of multi-view 3D data based on marked points. Journal of Beijing Information Science and Technology University, 2010, 25(1): 30-33 (in Chinese)

    [9] Zhang S. Recent progress on real time 3D measurement using digital fringe projection techniques. Optics and Lasers in Engineering, 2010, 48(2): 149-158

    [10] Ma S P. The calibration of fringe projection 3D measurement system and their proved calibration algorithm. Dissertation for the Master Degree. Xi’an: Xi’an Technological University, 2011 (in Chinese)

    [11] Yin Y K, Liu X L, Li A M, Peng X. Sub-pixel location of circle target and its application. Infrared and Laser Engineering, 2008, 37(4): 47-50 (in Chinese)

    [12] Ma Y B, Zhong Y X, Zheng L. Design and recognition of coded targets for 3D registration. Journal of Tsinghua University (Sci & Tech), 2006, 46(2): 169-171 (in Chinese)

    [13] Su Q. Research on circle detection algorithm and its application in the measurement of concentricity. Dissertation for the Master Degree. Guilin: Guangxi Normal University, 2008 (in Chinese)

    [14] Mclaughlin R A. Randomized hough transform: improved ellipse detection with comparison. Pattern Recognition Letters, 1998, 19(3-4): 299-305

    [15] Zhang S C. Liu Z Q. A robust, real-time ellipse detector. Pattern Recognition, 2005, 38(2): 273-287

    [16] Xue T, Sun M, Zhang T, Wu B. Complete approach to automatic identification and sub-pixel center location for ellipse feature. Journal of Optoelectronics Laser, 2008, 19(8): 1076-1078 (in Chinese)

    [17] Li Z Q, He Y P. Fast randomized multi-circle detection based on local search. Application Research of Computers, 2008, 25(2): 469-472 (in Chinese)

    [18] Zhang H, Da F P, Xing D K. Algorithm of centre location of ellipse in optical measurement. Journal of Applied Optics, 2008, 29(6): 905-911 (in Chinese)

    [19] Arun K S, Huang T S, Blostein S D. Least-squares fitting of two 3-D point sets. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987, 9(5): 698-700

    [20] Horn B K P. Closed-form solution of absolute Orientation using unit quaternion. Journal of the Optical Society of America A, 1987, 4(4): 629-642

    Zhen GUO, Xu LIU, Han WANG, Zhenrong ZHENG. An ellipse detection method for 3D head image fusion based on color-coded mark points[J]. Frontiers of Optoelectronics, 2012, 5(4): 395
    Download Citation