A novel camera calibration algorithm based on Kalman filter

2002 ◽  
Author(s):  
E. Stringa ◽  
C.S. Regazzoni
Keyword(s):  
Kalman Filter ◽  
Camera Calibration ◽  
Calibration Algorithm

Camera Calibration Method Based on Circle Plane Board

2013 ◽  
Vol 475-476 ◽  
pp. 184-187
Author(s):  
Wen Guo Li ◽  
Shao Jun Duan
Keyword(s):  
Camera Calibration ◽  
Calibration Method ◽  
Lens Distortion ◽  
Edge Extraction ◽  
Circle Plane ◽  
Circle Centre ◽  
Extraction Algorithm ◽  
Calibration Algorithm ◽  
Characteristic Points ◽  
Distortion Parameters

We present a camera calibration method based on circle plane board. The centres of circles on plane are regarded as the characteristic points, which are used to implement camera calibration. The proposed calibration is more accurate than many previous calibration algorithm because of the merit of the coordinate of circle centre being obtained from thousand of of edge pionts of ellipse, which is very reliable to image noise caused by edge extraction algorithm. Experiments shows the proposed algorithm can obtain high precise inner parameters, and lens distortion parameters.

Industrial part localization and grasping using a robotic arm guided by 2D monocular vision

2018 ◽  
Vol 45 (6) ◽  
pp. 794-804 ◽  
Author(s):  
Zhaohui Zheng ◽  
Yong Ma ◽  
Hong Zheng ◽  
Yu Gu ◽  
Mingyu Lin
Keyword(s):  
Camera Calibration ◽  
High Precision ◽  
Calibration Method ◽  
Monocular Vision ◽  
Robotic Arm ◽  
Robot Arm ◽  
Content Type ◽  
Calibration Algorithm ◽  
Target Locating ◽  
Practical Implications

Purpose The welding areas of the workpiece must be consistent with high precision to ensure the welding success during the welding of automobile parts. The purpose of this paper is to design an automatic high-precision locating and grasping system for robotic arm guided by 2D monocular vision to meet the requirements of automatic operation and high-precision welding. Design/methodology/approach A nonlinear multi-parallel surface calibration method based on adaptive k-segment master curve algorithm is proposed, which improves the efficiency of the traditional single camera calibration algorithm and accuracy of calibration. At the same time, the multi-dimension feature of target based on k-mean clustering constraint is proposed to improve the robustness and precision of registration. Findings A method of automatic locating and grasping based on 2D monocular vision is provided for robot arm, which includes camera calibration method and target locating method. Practical implications The system has been integrated into the welding robot of an automobile company in China. Originality/value A method of automatic locating and grasping based on 2D monocular vision is proposed, which makes the robot arm have automatic grasping function, and improves the efficiency and precision of automatic grasp of robot arm.

Camera Calibration Method Based on Halcon

2013 ◽  
Vol 385-386 ◽  
pp. 518-522
Author(s):  
Zhi Xian Zhang ◽  
Li Liang ◽  
Yong Deng
Keyword(s):  
Computer Vision ◽  
Camera Calibration ◽  
Ccd Camera ◽  
Calibration Method ◽  
Geometrical Model ◽  
Accuracy Analysis ◽  
Calibration Algorithm ◽  
Cross Platform ◽  
Computation Speed

Aiming at the applications of computer vision,a nonlinear image geometrical model for array CCD camera was build and the interior parameters and exterior parameters as well were analyzed.By applying Halcon calibration board with circular targets plane of matrix gridding type and functions library,a camera calibration algorithm and accuracy analysis were given.Experiments indicated that the parameters were accurate and this method is simple and it improves the calibration precision and computation speed, and has a good cross-platform portability.

Fisheye Camera Calibration Algorithm Optimized by Centroid Method

2016 ◽  
Vol 45 (5) ◽  
pp. 512005
Author(s):  
宋涛 SONG Tao ◽  
褚光宇 CHU Guang-yu ◽  
侯培国 HOU Pei-guo ◽  
李海滨 LI Hai-bin ◽  
陈琛 CHEN Chen
Keyword(s):  
Camera Calibration ◽  
Centroid Method ◽  
Calibration Algorithm ◽  
Fisheye Camera

Four points: one-pass geometrical camera calibration algorithm

2019 ◽  
Vol 36 (2) ◽  
pp. 413-424
Author(s):  
H. K. Ardakani ◽  
A. Mousavinia ◽  
Farzad Safaei
Keyword(s):  
Camera Calibration ◽  
Calibration Algorithm
Sign in / Sign up

Export Citation Format

Share Document