• Laser & Optoelectronics Progress
  • Vol. 55, Issue 12, 121502 (2018)
Daolei Wang* and Song Hu**
Author Affiliations
  • College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
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    DOI: 10.3788/LOP55.121502 Cite this Article Set citation alerts
    Daolei Wang, Song Hu. Optimization Method of Camera Calibration Based on Quantum-Behaved Particle Swarm Optimization Algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(12): 121502 Copy Citation Text show less
    References

    [1] Qiu M L, Ma S D, Li Y. Overview of camera calibration for computer vision[J]. Acta Automatica Sinica, 26, 43-55(2000).

    [2] Tsai R Y. An efficient and accurate camera calibration technique for 3D machine vision[J]. Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 364-374(1986).

    [3] Zhang Z. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 1330-1334(2000). http://www.emeraldinsight.com/servlet/linkout?suffix=b48&dbid=16&doi=10.1108%2FIR-07-2013-376&key=10.1109%2F34.888718

    [4] Lian X L, He L L, Zhang Y. Camera calibration of stereo vision system based on PSO[J]. Computer Engineering and Applications, 47, 202-204(2011).

    [5] Chen Y X, Liang X M, Huang Y F et al. Hybrid algorithm based on quantum particle swarm optimization for saving constrained optimization problems[J]. Journal of Chinese Computer Systems, 36, 296-300(2015).

    [6] Deng L, Lu G, Shao Y Y. et al. A novel camera calibration technique based on differential evolution particle swarm optimization algorithm[J]. Neurocomputing, 174, 456-465(2016). http://www.sciencedirect.com/science/article/pii/S0925231215012503

    [7] Guan W, Li W, Xi J. Improved particle swarm optimization algorithm based nonlinear calibration of camera[C]. 29th Chinese Control and Decision Conference, 5217-5221(2017).

    [8] Guo T Y, Li N N, Liu Y. Optimization of camera internal parameters based on particle swarm algorithm[J]. Laser & Optoelectronics Progress, 54, 111504(2017).

    [9] Yao C Q, Chen W. Infrared dim target detection based on improved particle swarm optimization algorithm[J]. Laser & Optoelectronics Progress, 54, 111101(2017).

    [10] Wang Y, Liu H H. Digital camera calibration of two-dimensional plane targets[J]. Software Guide, 10, 177-179(2011).

    [11] Kennedy J, Eberhart R C. Particle swarm optimization[J]. Proceedings of IEEE, 1942-1948(1995).

    [12] van den Bergh F, Engelbrecht A P. A new locally convergent particle swarm optimiser[C]. IEEE International Conference on Systems, Man and Cybernetics, 3, 96-101(2002).

    [13] van den Bergh F. An analysis of particle swarm optimizers[D]. Pretoria: University of Pretoria(2006).

    [14] Sun J, Feng B, Xu W. Particle swarm optimization with particles having quantum behavior[C]. Evolutionary Computation, 1, 325-331(2004).

    [15] Sun J, Xu W, Feng B. A global search strategy of quantum-behaved particle swarm optimization[C]. Cybernetics and Intelligent Systems, 1, 111-116(2004).

    Daolei Wang, Song Hu. Optimization Method of Camera Calibration Based on Quantum-Behaved Particle Swarm Optimization Algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(12): 121502
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