Camera Calibration Method Based on Distortion Separation

doi:10.12068/j.issn.1005-3026.2017.05.003

Journal of Northeastern University:Natural Science ›› 2017, Vol. 38 ›› Issue (5): 620-624.DOI: 10.12068/j.issn.1005-3026.2017.05.003

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Camera Calibration Method Based on Distortion Separation

LIU Xiao-zhi¹， QI Di-di^1,2， BEN Chi³

1. School of Information Science & Engineering， Northeastern University， Shenyang 110819， China; 2. Hisense Group Co.， Ltd.， Qingdao 266000， China; 3. Northeast Branch of State Grid Corporation of China， Shenyang 110180，China.

Received:2015-12-17 Revised:2015-12-17 Online:2017-05-15 Published:2017-05-11
Contact: LIU Xiao-zhi
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Abstract

Abstract:

In the process of camera calibration， in order to avoid repeating calibration of the distortion coefficient in camera model， a distortion separated camera calibration method was proposed. The second order radial distortion was considered， in which the area of contour line formed by distortion is utilized as the criterion， and the inertia weight and learning factor of the particle swarm optimization algorithm based simulated annealing were improved. Then the improved particle swarm optimization algorithm was utilized to calibrate the distortion coefficient and principal point coordinate of the camera. Finally， the other camera parameters were calculated. The proposed method was simple and easy to implement without needing any internal and external parameters of the camera in advance. Experiments show that the proposed method has lower mean back-projection error and better robustness compared with the traditional nonlinear optimization methods.

Key words: camera calibration, distortion coefficient, particle swarm optimization algorithm, distortion separation, back-projection error

CLC Number:

TP391.41

LIU Xiao-zhi， QI Di-di， BEN Chi. Camera Calibration Method Based on Distortion Separation[J]. Journal of Northeastern University:Natural Science, 2017, 38(5): 620-624.

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Camera Calibration Method Based on Distortion Separation

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