Laser & Optoelectronics Progress, Volume. 56, Issue 21, 211506(2019)
Hybrid Particle-Swarm-Optimization Method for Accurately Calibrating Cameras
Figures & Tables(8)
Fig. 4. Reprojection error obtained by HPSO.(a)Reprojection error of calibration image; (b)average projection error of calibration image
Fig. 5. Reprojection error obtained by Zhang's calibration method. (a)Reprojection error of calibration image; (b)average projection error of calibration image
Fig. 6. Reprojection error obtained by GA.(a)Reprojection error of calibration image;(b)average reprojection error of calibration image
Table 1. Optimization results of camera calibration parameters
View tableTable 1. Optimization results of camera calibration parameters
Parameter α β u 0v 0γ k 1k 2Initial value of parameter 663.0130 676.3462 324.8492 255.2341 -8.9706 0.0723 -0.9763 Zhang's method 657.3730 657.8142 301.7822 244.0511 0.5281 -0.2577 0.1344 PSO 669.4958 684.3106 319.3003 251.9557 -3.7394 -0.1439 -1.1690 GA 658.9559 659.4016 302.7685 245.10329 0.64935 -0.2501 0.1043 HPSO 657.2879 658.2075 304.1057 246.8869 0.1760 -0.2476 0.1053
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Yang Lei, Hongli Zhang, Cong Wang. Hybrid Particle-Swarm-Optimization Method for Accurately Calibrating Cameras[J]. Laser & Optoelectronics Progress, 2019, 56(21): 211506
Paper Information
Category: Machine Vision
Received: Mar. 25, 2019
Accepted: Apr. 30, 2019
Published Online: Nov. 2, 2019
The Author Email: Hongli Zhang (1831701512@qq.com)
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