An empirical evaluation of factors influencing camera calibration accuracy using three publicly available techniques

2006 ◽  
Vol 17 (1) ◽  
pp. 51-67 ◽  
Author(s):  
Wei Sun ◽  
Jeremy R. Cooperstock
Keyword(s):  
Camera Calibration ◽  
Empirical Evaluation ◽  
Factors Influencing ◽  
Calibration Accuracy

Investigation of Factors Influencing Calibration Accuracy of Camera

2013 ◽  
Vol 712-715 ◽  
pp. 2331-2335
Author(s):  
Jian Hua Wang ◽  
Yu Ping Wu ◽  
Zhao Yang
Keyword(s):  
Camera Calibration ◽  
Control Point ◽  
Calibration Method ◽  
Manufacturing Error ◽  
Manufacturing Tolerance ◽  
Factors Influencing ◽  
Calibration Methods ◽  
Machine Vision Application ◽  
Calibration Accuracy ◽  
Vision Application

Camera calibration is the basis of vision-based 3D measurement. While many calibration methods have been proposed, the problem encountered in the practice of camera calibration is how to get accurate calibration parameters, which is seldom involved in references. This paper is focused on investigation of main factors influencing calibration accuracy, including manufacturing error of calibration rig, extracting error of control point and their combination. Based on the popular calibration method, simulation experiments are conducted at different error level, and the results show that the extracting error of control point has greater effect on calibration accuracy than manufacturing error of calibration rig. The manufacturing tolerance of calibration rig and extracting tolerance of control point is suggested to satisfy usual machine vision application.

A Rotation Based Sorting Method for the Feature Points Abstracted from Skew Calibration Image

2013 ◽  
Vol 427-429 ◽  
pp. 1939-1943 ◽  
Author(s):  
Qian Bian ◽  
Sui Yang Chen ◽  
Yang Chuan Liu
Keyword(s):  
Camera Calibration ◽  
Feature Points ◽  
Skew Angle ◽  
Sorting Method ◽  
Calibration Pattern ◽  
Calibration Accuracy ◽  
Skew Angles

During camera calibration, the calibration pattern image is always skew. This brings much difficult to feature points sorting, which affects calibration accuracy. In this study, a rotation based sorting method is proposed. First, detect the skew angle accurately; then, transform the original coordinates to the rotated coordinates and establish the mapping relation; then, sort the rotated coordinates; finally, sort the original coordinates using the mapping relation. To verify the feasibility of this method, an experiment is carried out. The result shows that the rotation based sorting method can sort the feature points accurately at different skew angles. Its accuracy makes this method suitable for high accurate camera calibration.

A New Binocular Camera Calibration Method Based on an Improved Genetic Algorithm

2011 ◽  
Vol 411 ◽  
pp. 602-608 ◽  
Author(s):  
Xiang Kui Jiang
Keyword(s):  
Genetic Algorithm ◽  
Camera Calibration ◽  
Calibration Method ◽  
Improved Genetic Algorithm ◽  
Linear Calibration ◽  
Calibration Methods ◽  
Calibration Accuracy ◽  
Encoding Method ◽  
The One ◽  
Crossover And Mutation

In this paper,an improved genetic algorithm was proposed,which is applicable to binocular camera calibration. On the one hand, conventional encoding method is improved so that variable search interval can be adjusted adaptively. On the other hand, crossover and mutation probability is varied by using superiority inheritance principle to avoid premature question. Experimental results show that the proposed method has a higher calibration accuracy and better robustness, compared to those of non-linear calibration methods. The proposed method is able to improve the performance of global optimization effectively.

Language, Culture, Migration, and Conflicts: Projection into Economic Field

2016 ◽  
Vol 2016 (1) ◽  
pp. 3-21
Author(s):  
Kristina Butaeva ◽  
Shlomo Weber ◽  
Denis Davydov
Keyword(s):  
Income Inequality ◽  
Cultural Differences ◽  
Empirical Evaluation ◽  
Theoretical Description ◽  
Social Processes ◽  
Social Consequences ◽  
Cultural Heterogeneity ◽  
Factors Influencing ◽  
And Migration ◽  
Economic Criteria

We consider a description and analysis of linguistic, ethnic, cultural heterogeneity issues, with an emphasis on the economic and social consequences of the resulting conflicts. We focus on language, ethnic and cultural differences influence on the processes of emergence, or increase of the potential conflicts in the context of social and economic dimensions. We also take into account income inequality and migration, as the most important factors influencing the dynamics of these processes. The approaches to the theoretical description and empirical evaluation are based on basic economic criteria, which allows to achieve a more complete and accurate description of the studied complex social processes. We pay special attention to the case studies reflecting the peculiarities of the studied heterogeneity issues.

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