An embedded camera lens distortion correction method for mobile computing applications

2003 ◽  
Author(s):  
Wonpil Yu ◽  
Yunkoo Chung
Keyword(s):  
Mobile Computing ◽  
Correction Method ◽  
Distortion Correction ◽  
Lens Distortion ◽  
Camera Lens

A High-Precision Lens Distortion Correction Method for Vision Measurement

2021 ◽  
Author(s):  
Xiaoping Hu ◽  
Cong Zhou ◽  
Yu Kang ◽  
Xiao Zhou ◽  
Xingang Mou
Keyword(s):  
High Precision ◽  
Correction Method ◽  
Distortion Correction ◽  
Lens Distortion ◽  
Vision Measurement

scholarly journals Model-Independent Lens Distortion Correction Based on Sub-Pixel Phase Encoding

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7465
Author(s):  
Pengbo Xiong ◽  
Shaokai Wang ◽  
Weibo Wang ◽  
Qixin Ye ◽  
Shujiao Ye
Keyword(s):  
Evaluation Method ◽  
Optical Glass ◽  
Correction Method ◽  
Distortion Correction ◽  
Vertical Stripe ◽  
Lens Distortion ◽  
Stripe Pattern ◽  
Simple Method ◽  
Characteristic Points ◽  
Model Independent

Lens distortion can introduce deviations in visual measurement and positioning. The distortion can be minimized by optimizing the lens and selecting high-quality optical glass, but it cannot be completely eliminated. Most existing correction methods are based on accurate distortion models and stable image characteristics. However, the distortion is usually a mixture of the radial distortion and the tangential distortion of the lens group, which makes it difficult for the mathematical model to accurately fit the non-uniform distortion. This paper proposes a new model-independent lens complex distortion correction method. Taking the horizontal and vertical stripe pattern as the calibration target, the sub-pixel value distribution visualizes the image distortion, and the correction parameters are directly obtained from the pixel distribution. A quantitative evaluation method suitable for model-independent methods is proposed. The method only calculates the error based on the characteristic points of the corrected picture itself. Experiments show that this method can accurately correct distortion with only 8 pictures, with an error of 0.39 pixels, which provides a simple method for complex lens distortion correction.

Camera Lens Distortion Correction Based on Coplanar Point Direct Liner Transformation

2010 ◽  
Vol 37 (2) ◽  
pp. 488-494 ◽  
Author(s):  
葛宝臻 Ge Baozhen ◽  
李晓洁 Li Xiaojie ◽  
邱实 Qiu Shi
Keyword(s):  
Distortion Correction ◽  
Lens Distortion ◽  
Camera Lens

scholarly journals Research on Calibration Method of Binocular Vision System Based on Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hao Zhu ◽  
Mulan Wang ◽  
Weiye Xu
Keyword(s):  
Neural Network ◽  
Binocular Vision ◽  
Vision System ◽  
Calibration Method ◽  
Correction Method ◽  
Distortion Correction ◽  
Inspection System ◽  
Lens Distortion ◽  
Calibration Methods ◽  
Binocular Vision System

In binocular vision inspection system, the calibration of detection equipment is the basis to ensure the subsequent detection accuracy. The current calibration methods have the disadvantages of complex calculation, low precision, and poor operability. In order to solve the above problems, the calibration method of binocular camera, the correction method of lens distortion, and the calibration method of projector in the binocular vision system based on surface structured light are studied in this paper. For lens distortion correction, on the basis of analyzing the traditional correction methods, a distortion correction method based on radial basis function neural network is proposed. Using the excellent nonlinear mapping ability of RBF neural network, the distortion correction models of different lenses can be obtained quickly. It overcomes the defect that the traditional correction model cannot adjust adaptively with the type of lens. The experimental results show that the accuracy of the method can meet the requirements of system calibration.

Lens distortion correction method based on collinear points

2013 ◽  
Vol 33 (12) ◽  
pp. 3555-3558 ◽  
Author(s):  
Chao LIU ◽  
Xingfei LI ◽  
Jingbin GUO ◽  
Wenbin TAN
Keyword(s):  
Correction Method ◽  
Distortion Correction ◽  
Lens Distortion
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