The underwater camera calibration based on virtual camera lens distortion

2011 ◽  
Author(s):  
Dahui Qin ◽  
Ting Mao ◽  
Peng Cheng ◽  
Zhiliang Zhang
Keyword(s):  
Camera Calibration ◽  
Lens Distortion ◽  
Camera Lens ◽  
Virtual Camera ◽  
Underwater Camera

A New Model of Bundle Adjustment Used in Camera Calibration

2011 ◽  
Vol 301-303 ◽  
pp. 1699-1704
Author(s):  
Jian Hua Cheng ◽  
Li Xin Tang
Keyword(s):  
Camera Calibration ◽  
Partial Derivative ◽  
Bundle Adjustment ◽  
Free Form ◽  
Lens Distortion ◽  
New Model ◽  
Order Partial Derivative ◽  
First Order ◽  
Camera Lens ◽  
Matrix Problems

The calibration of the internal and external parameters of each camera is a crucial step for free-form surface measurement based on stereo vision. The nonlinear optimization method of bundle adjustment is usually used in the camera calibration. The model of bundle adjustment can be derived from the nonlinear collinearity equations which contains the nonlinear distortions of camera lens. As the internal parameters of camera, the distortion parameters are implied in the projective transformation matrix, and difficult to be explicitly expressed by an equation. But the establishment of the model of bundle adjustment needs to calculate the first-order partial derivative of each parameter. At present, there is no effective method to decompose the implicit parameters which are taken as a whole in the expansion of first-order partial derivative. The existing bundle adjustment models are not comprehensive and easy to cause ill-conditioned matrix problems. In this paper, we discuss the methods of the nonlinear camera lens distortion correction, establish a new lens distortion expression, and propose a new model of bundle adjustment based on the new distortion expression. Experiments results indicate that the new bundle adjustment model can obtain high camera calibration accuracy, and avoid the ill-conditioned matrix problems.

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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