Camera calibration with lens distortion and from vanishing points

2009 ◽  
Vol 48 (1) ◽  
pp. 013603 ◽  
Author(s):  
Youfu Li
Keyword(s):  
Camera Calibration ◽  
Lens Distortion ◽  
Vanishing Points

scholarly journals Method of Camera Calibration Using Concentric Circles and Lines through Their Centres

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Yue Zhao ◽  
Xuechun Wang ◽  
Fengli Yang
Keyword(s):  
Camera Calibration ◽  
Real World ◽  
Cross Ratio ◽  
Lens Distortion ◽  
Vanishing Point ◽  
Vanishing Points ◽  
Novel Method ◽  
Ideal Points ◽  
Concentric Circles ◽  
The Ideal

A novel method for camera calibration is proposed based on an analysis of lens distortion in camera imaging. In the method, a line through the centre of concentric circles is used as a template in which orthogonal directions can be determined from an angle of circumference that corresponds to a diameter. By using three lines through the centre of concentric circles, based on the invariance of the cross-ratio, an image at the centre of the concentric circles can be used to obtain the vanishing point. The intrinsic parameters of the camera can be computed based on the constraints of the orthogonal vanishing points and the imaged absolute conic. The lens distortion causes points in the template to have a position offset. In the proposed method, we optimize the positions of the distortion points such that they gradually approach those of the ideal points. The simulated and real-world experiments demonstrate that the proposed method is efficient and feasible.

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
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