Camera calibration with lens distortion from low-rank textures

CVPR 2011 ◽  
2011 ◽  
Author(s):  
Zhengdong Zhang ◽  
Yasuyuki Matsushita ◽  
Yi Ma
Keyword(s):  
Camera Calibration ◽  
Low Rank ◽  
Lens Distortion

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.

When should we consider lens distortion in camera calibration

1995 ◽  
Vol 28 (3) ◽  
pp. 447-461 ◽  
Author(s):  
Sheng-Wen Shih ◽  
Yi-Ping Hung ◽  
Wei-Song Lin
Keyword(s):  
Camera Calibration ◽  
Lens Distortion

A Novel Camera Calibration Method Based on Circle Array Target

2012 ◽  
Vol 472-475 ◽  
pp. 968-973
Author(s):  
Hong Ru Wang ◽  
Wen Ding
Keyword(s):  
Camera Calibration ◽  
Visual Inspection ◽  
Assembly Line ◽  
Calibration Method ◽  
Lens Distortion ◽  
Feature Points ◽  
Improved Genetic Algorithm ◽  
Improve Accuracy ◽  
Two Stages ◽  
The Given

To improve accuracy of computer visual inspection in keyboard automatic assembly line, a new two-stage camera calibration method was presented. 2D circle array was used as calibration plate, and centers of the circles were taken as feature points. And feature point coordinates were extracted without human interference. The proposed camera calibration method was divided into two stages. First, lens distortion was neglected, internal and external parameters of the camera were obtained by modified camera calibration toolbox for MATLAB. Then, lens distortion was taken into account, and improved genetic algorithm (GA) was adopted to optimize camera parameters gotten in the first stage. Experiment results indicate the proposed method is feasible, and can meet with requirements of the given application.

Line-based camera calibration with lens distortion correction from a single image

2013 ◽  
Vol 51 (12) ◽  
pp. 1332-1343 ◽  
Author(s):  
Fuqiang Zhou ◽  
Yi Cui ◽  
He Gao ◽  
Yexin Wang
Keyword(s):  
Camera Calibration ◽  
Distortion Correction ◽  
Lens Distortion ◽  
Single Image

scholarly journals Depth-Dependent High Distortion Lens Calibration

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3695 ◽  
Author(s):  
Carlos Ricolfe-Viala ◽  
Alicia Esparza
Keyword(s):  
Camera Calibration ◽  
Calibration Method ◽  
Complex Problem ◽  
Lens Distortion ◽  
Lens Model ◽  
Distortion Model ◽  
Calibration Methods ◽  
Depth Dependency ◽  
Division Model

Accurate correction of high distorted images is a very complex problem. Several lens distortion models exist that are adjusted using different techniques. Usually, regardless of the chosen model, a unique distortion model is adjusted to undistort images and the camera-calibration template distance is not considered. Several authors have presented the depth dependency of lens distortion but none of them have treated it with highly distorted images. This paper presents an analysis of the distortion depth dependency in strongly distorted images. The division model that is able to represent high distortion with only one parameter is modified to represent a depth-dependent high distortion lens model. The proposed calibration method obtains more accurate results when compared to existing calibration methods.

The Application Research of Robot Vision Target Positioning Based on Static Camera Calibration

2013 ◽  
Vol 712-715 ◽  
pp. 2378-2384
Author(s):  
Jiang Yan Yin
Keyword(s):  
Camera Calibration ◽  
Vision System ◽  
Research Work ◽  
Robot Vision ◽  
Target Position ◽  
Calibration Method ◽  
Lens Distortion ◽  
Application Research ◽  
Distortion Coefficient ◽  
Key Techniques

Target precise positioning by vision system is one of key techniques in robot vision system. In target positioning and selection with robot vision technique, the camera lens distortion must be calibrated. In this paper, a calibration method based on segment slope is used to calibrate the camera and the radial lens distortion coefficient is obtained. The distortion coefficient is used in calculating target position coordinates, and the robot end-exceutor is led to position the target with the use of the coordinates. The experimental results show the effectiveness of the research work. Keywords:robot vision;camera calibration;radial distortion;target positioning

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