• Acta Optica Sinica
  • Vol. 38, Issue 5, 0515005 (2018)
Yujing Qiao1、*, Shizheng Tan1, and Jingang Jiang1
Author Affiliations
  • 1 Institute of Mechanical & Power Engineering, Harbin University of Science and Technology, Harbin, Heilongjiang 150080, China;
  • 1 Robotics & Engineering Research Center, Harbin University of Science and Technology, Harbin, Heilongjiang 150080, China;
  • show less
    DOI: 10.3788/AOS201838.0515005 Cite this Article Set citation alerts
    Yujing Qiao, Shizheng Tan, Jingang Jiang. Planning Strategy for Multi-Visual Measurement Networking[J]. Acta Optica Sinica, 2018, 38(5): 0515005 Copy Citation Text show less
    References

    [1] Deng H, Xie J, Meng G Y et al. Repeat positioning accuracy measurement technology based on machine vision[J]. Electronic Measurement Technology, 37, 45-48(2014).

    [2] Li W, Dong M L, Sun P et al. Relative orientation method for large-scale photogrammetry with local parameter optimization[J]. Chinese Journal of Scientific Instrument, 35, 2053-2060(2014).

    [3] Olague G, Mohr R. Optimal camera placement for accurate reconstruction[J]. Pattern Recognition, 35, 927-944(2002). http://www.sciencedirect.com/science/article/pii/S0031320301000760

    [4] Wu M, Zhang X D, Duan W C et al. Geometry splicing and measurement of wide range image in mobile measurement system[J]. Journal of Geomatics Science and Technology, 33, 415-420(2016).

    [5] Wang X J, Wang J, Dong M L et al. Research on camera planning based on multiple constraints and genetic algorithm[J]. Tool Engineering, 42, 64-67(2008).

    [6] Yuan Y, Zhang X H, Zhu Z K et al. Deformation measurement of large-scale wind turbine blades using videometrics[J]. Journal of Computer Applications, 32, 114-117(2012).

    [7] Chen J Y, Dong M L, Wang J et al. Photogrammetric network design for large-scale trough concentrator surface measurement[J]. Renewable Energy Resources, 34, 353-359(2016).

    [8] Qiao Y J, Wang H R, Zhao Y J. Study on binocular vision measurement network layout for large curved surface parts[J]. Chinese Journal of Scientific Instrument, 36, 913-918(2015).

    [9] Yang Y, Li C, Miu W P et al. Global optimal design of wind turbines blade based on multi-object genetic algorithm[J]. Journal of Mechanical Engineering, 51, 192-198(2015).

    [10] Liang S T, Yang J F, Xue B. A new phase diversity wave-front error sensing method based on genetic algorithm[J]. Acta Optica Sinica, 30, 1015-1019(2010).

    [11] Pan Y Y, Guo J, Zhang L Y et al. Optimal embattling method based on adaptive genetic algorithm[J]. Foreign Electronic Measurement Technology, 32, 62-64(2013).

    [12] Tang Y H, Wu Q Y, Chen X Y et al. Optimization design of the meridian line of progressive addition lenses based on genetic algorithm[J]. Acta Optica Sinica, 34, 0922005(2014).

    [13] Yang J, Zhao H Y. The research of floating-point coding improved genetic algorithm flatness error evaluation[J]. Optics and Precision Engineering, 25, 706-711(2017).

    [14] Creaco E, Pezzinga G. Embedding linear programming in multi objective genetic algorithms for reducing the size of the search space with application to leakage minimization in water distribution networks[J]. Environmental Modelling & Software, 69, 308-318(2015). http://dl.acm.org/citation.cfm?id=2795808

    [15] Yang C X, Li S K, Wang X Z. Pixelated source mask optimization based on multi chromosome genetic algorithm[J]. Acta Optica Sinica, 36, 0811001(2016).

    [16] Gao H, Xue L Y. Back propagation neural network based on improved genetic algorithm fitting LED spectral model[J]. Laser & Optoelectronics Progress, 54, 072302(2017).

    [17] Yang G T, Dong R F, Wu H L et al. Viewpoint optimization using genetic algorithm for flying robot inspection of electricity transmission tower equipment[J]. Chinese Journal of Electronics, 23, 426-431(2014). http://kns.cnki.net/KCMS/detail/detail.aspx?filename=edzx201402037&dbname=CJFD&dbcode=CJFQ

    Yujing Qiao, Shizheng Tan, Jingang Jiang. Planning Strategy for Multi-Visual Measurement Networking[J]. Acta Optica Sinica, 2018, 38(5): 0515005
    Download Citation