Review of Camera Calibration Methods and Their Progress

Wenwen Huang; Xiaohong Peng; Liyuan Li; Xiaoyan Li

doi:10.3788/LOP221494

Journals >Laser & Optoelectronics Progress >Volume 60 >Issue 16 >Page 1600001 > Article

Laser & Optoelectronics Progress
Vol. 60, Issue 16, 1600001 (2023)

Review of Camera Calibration Methods and Their Progress

Wenwen Huang^1,2, Xiaohong Peng³, Liyuan Li³, and Xiaoyan Li^1,*

Author Affiliations

¹Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, Zhejiang, China

²Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China

³State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China

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DOI: 10.3788/LOP221494 Cite this Article Set citation alerts

Wenwen Huang, Xiaohong Peng, Liyuan Li, Xiaoyan Li. Review of Camera Calibration Methods and Their Progress[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1600001 Copy Citation Text

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Fig. 1. Schematic diagram of space coordinate transformation

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Fig. 2. Camera-centric visualization of extrinsics

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Fig. 3. Calibration plate-centric visualization of extrinsics

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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 1. Comparison table of traditional camera calibration methods

Category	Reference	RMSE /mm	Time	Feature
Camera calibration based on BPNN	［76］	0.038	26.3 s	Differential genetic algorithm
Camera calibration based on BPNN	［77］	0.27		BP net
Camera calibration based on MLPNN	［79］	0.49		Nonlinear modeling function
Camera calibration based on MLPNN	［82］	0.17		Stereo vision
Camera calibration based on CNN	［83］	0.15	40.8 min	Complex environment，high distortion
Camera calibration based on CNN	［84］	0.09		Without data feature extraction，wide range

Table 2. Comparison table of smart camera calibration method

Wenwen Huang, Xiaohong Peng, Liyuan Li, Xiaoyan Li. Review of Camera Calibration Methods and Their Progress[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1600001

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