Laser & Optoelectronics Progress, Volume. 58, Issue 22, 2215004(2021)
Camera Calibration Optimization Method Based on Sparrow Search Algorithm
Figures & Tables(9)
Fig. 5. Repeatability comparison in different pictures. (a) Picture 1; (b) picture 2; (c) picture 3; (d) picture 4
Table 1. Initial parameters of SSA
View tableTable 1. Initial parameters of SSA
Number of sparrows Number of producers Number of vigilantes Alarm value Maximum number of iterations 100 20 20 0.7 100
Table 2. Camera calibration parameters obtained by SSA
View tableTable 2. Camera calibration parameters obtained by SSA
Parameter f'x /pixel f'y /pixel u'0 /pixel v'0 /pixel k'1 k'2 p'1 p'2 Value 860.3312 863.0505 342.1564 252.5249 -0.1209 0.2191 0.0334 -0.00107
Table 3. Calibration results of camera parameters
View tableTable 3. Calibration results of camera parameters
Parameter SSA BAS PSO f'x, average /pixel 860.3312 869.4400 872.6797 f'y, average /pixel 863.0505 867.2528 878.2543 u'0, average /pixel 342.1564 341.1388 346.4316 v'0, average /pixel 252.5249 252.4078 253.0327 k'1, average -0.1209 -0.1480 -0.1583 k'2,average 0.2191 0.1082 0.0867 p'1, average 0.0334 0.01162 -0.0016 p'2, average -0.00107 -0.00067 -0.00015
Table 4. Average reprojection error
View tableTable 4. Average reprojection error
Calibration method SSA BAS PSO Mean reprojection error /pixel 0.0326 0.0583 0.1028
Tools
Get Citation
Copy Citation Text
Hongfeng Zhang, Shoudong Ni, Liang Zhao, Meng Zhang. Camera Calibration Optimization Method Based on Sparrow Search Algorithm[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2215004
Paper Information
Category: Machine Vision
Received: Nov. 25, 2020
Accepted: Jan. 22, 2021
Published Online: Nov. 10, 2021
The Author Email: Shoudong Ni (nsd@njtech.edu.cn)
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20