Optics and Precision Engineering, Volume. 27, Issue 8, 1745(2019)
Mutation mechanism particle swarm optimization for camera internal parameter calibration
[1] [1] LEI J ZH, ZENG L B, YE N. Research on industrial robot alignment technique with monocular vision [J].Opt. Precision Eng., 2018, 26(3): 217-226. (in Chinese)
[3] [3] MENG X Q, HU Z Y. A new easy camera calibration technique based on circular points [J].Pattern Recognition, 2003, 36: 1155-1164.
[4] [4] SALVI J, ARMANGU X, BATLLE J. A comparative review of camera calibrating methods with accuracy evaluation [J]. Pattern Recognition, 2002, 35(7): 1617-1635.
[6] [6] KHURANA M, MASSY K. Swarm algorithm with adaptive mutation for airfoil aerodynamic design [J].Swarm and Evolutionary Computation, 2015, 20: 1-13.
[7] [7] WEI W, TIAN Z Y. An improved multi-objective optimization method based on adaptive mutation particle swarm optimization and fuzzy statistics algorithm [J].Journal of Statistical Computation and Simulation, 2017, 87(13): 2480-2493.
[8] [8] HONG G Q. The Study of Space Object Attitude Measurement Technology Based on Optics[D]. Harbin: Harbin Engineering University, 2018.(in Chinese)
[9] [9] GAO Z R, ZHANG Q C, SU Y, et al.. Accuracy evaluation of optical distortion calibration by digital image correlation [J]. Optics and Lasers in Engineering, 2017, 98: 143-152.
[10] [10] HEIKKILA J, SILVN O. A four-step camera calibration procedure with implicit image correction [C]//Proceeding of IEEE Computer Society Conference on Computer Vision and Pattern Recognition(CVPR′97), San Juan, Puerto Rico, 1106-1112.
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ZHOU Jing, ZHANG Xiao-bao, BAI Yun-long. Mutation mechanism particle swarm optimization for camera internal parameter calibration[J]. Optics and Precision Engineering, 2019, 27(8): 1745
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Received: Apr. 28, 2019
Accepted: --
Published Online: Jan. 19, 2020
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