Laser & Optoelectronics Progress, Volume. 60, Issue 16, 1600001(2023)
Review of Camera Calibration Methods and Their Progress
Figures & Tables(5)
Table 1. Comparison table of traditional camera calibration methods
View tableTable 1. Comparison table of traditional camera calibration methods
Category Reference Complexity Robust Cost Accuracy Feature Target-based method ［ 7 ］Med Med Low High Chessboard template； ［ 49 ］Low Med Low High Circle，elliptic equation； ［ 59 ］Med High Med High Phase，out-of-focus Active-vision based method ［ 8 ］High Med High Med Pure rotation，linear solution； ［ 62 ］High Med High High Orthogonal translation； ［ 64 ］Med High High High Infinite plane，pole constraint Self-calibration method ［ 67 ］Low Low Low Low Kruppa equation； ［ 18 ］Low Med Low High Invariance of absolute conics； ［ 22 ］Low Med Low High Projective reconstruction； ［ 20 ］Low Low Low Med Variable internal parameters
Table 2. Comparison table of smart camera calibration method
View tableTable 2. Comparison table of smart camera calibration method
Category Reference RMSE /mm Time Feature Camera calibration based on BPNN ［ 76 ］0.038 26.3 s Differential genetic algorithm ［ 77 ］0.27 BP net Camera calibration based on MLPNN ［ 79 ］0.49 Nonlinear modeling function ［ 82 ］0.17 Stereo vision Camera calibration based on CNN ［ 83 ］0.15 40.8 min Complex environment，high distortion ［ 84 ］0.09 Without data feature extraction，wide range
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Wenwen Huang, Xiaohong Peng, Liyuan Li, Xiaoyan Li. Review of Camera Calibration Methods and Their Progress[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1600001
Paper Information
Category: Reviews
Received: May. 5, 2022
Accepted: Sep. 16, 2022
Published Online: Aug. 15, 2023
The Author Email: Li Xiaoyan (lixiaoyan@ucas.ac.cn)
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