A Linear Approach for Determining Camera Intrinsic Parameters from Concentric Circles

2011 ◽  
Vol 3 (8) ◽  
pp. 314-323 ◽  
Author(s):  
Xu Chen ◽  
Yue Zhao
Keyword(s):  
Intrinsic Parameters ◽  
Linear Approach ◽  
Concentric Circles ◽  
Camera Intrinsic Parameters

Accurate camera intrinsic parameters calibration using virtual stereo board

2005 ◽  
Author(s):  
Zhijing Yu ◽  
Jiwei Ma ◽  
Yuquan Ma ◽  
Rensheng Che ◽  
Zhihong Li ◽  
...  
Keyword(s):  
Intrinsic Parameters ◽  
Camera Intrinsic Parameters

scholarly journals A Decoupled Calibration Method for Camera Intrinsic Parameters and Distortion Coefficients

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Kun Yan ◽  
Hong Tian ◽  
Enhai Liu ◽  
Rujin Zhao ◽  
Yuzhen Hong ◽  
...  
Keyword(s):  
Real Data ◽  
Calibration Method ◽  
Intrinsic Parameters ◽  
Radial Distortion ◽  
Vision Measurement ◽  
Field Of Vision ◽  
Marquardt Algorithm ◽  
Calibration Accuracy ◽  
Camera Intrinsic Parameters ◽  
Division Model

Camera calibration is a necessary process in the field of vision measurement. In this paper, we propose a flexible and high-accuracy method to calibrate a camera. Firstly, we compute the center of radial distortion, which is important to obtain optimal results. Then, based on the radial distortion of the division model, the camera intrinsic parameters and distortion coefficients are solved in a linear way independently. Finally, the intrinsic parameters of the camera are optimized via the Levenberg-Marquardt algorithm. In the proposed method, the distortion coefficients and intrinsic parameters are successfully decoupled; calibration accuracy is further improved through the subsequent optimization process. Moreover, whether it is for relatively small image distortion or distortion larger image, utilizing our method can get a good result. Both simulation and real data experiment demonstrate the robustness and accuracy of the proposed method. Experimental results show that the proposed method can be obtaining a higher accuracy than the classical methods.

Optimization Method for Camera Intrinsic Parameters Based on Improved Particle Swarm Algorithm

2020 ◽  
Vol 57 (4) ◽  
pp. 041514
Author(s):  
徐呈艺 Xu Chengyi ◽  
刘英 Liu Ying ◽  
肖轶 Xiao Yi ◽  
曹健 Cao Jian
Keyword(s):  
Particle Swarm ◽  
Optimization Method ◽  
Particle Swarm Algorithm ◽  
Intrinsic Parameters ◽  
Swarm Algorithm ◽  
Camera Intrinsic Parameters
Sign in / Sign up

Export Citation Format

Share Document