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《Industry and Mine Automation》 2015-06
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A self-adaptive calibration method for mine-used belt detection with binocular vision

LIU Gaiye;WU Xiyan;Datong Coal Mine Group Co.Ltd.;Key Laboratory of Advanced Transducers and Intelligent Control System,Ministry of Education,Taiyuan University of Technology;  
For traditional complex camera calibration methods with low precision used for mine-used belt longitudinal tear detection,an efficient self-adaptive calibration method was proposed for binocular vision detection.A mathematical model of camera and fundamental principle of binocular vision were analyzed,and non-linear distortion parameters were introduced into the linear model.The coordinate values of feature corner points extracted from fused image combining belt image with a 7×7m atrix model are substituted into the matrix constraint equation.Furthermore,internal and external parameters,structure parameters and distortion parameters decomposed of the equation are non-linearly optimized to be more accurate.Finally,overall calculated parameters are compared with the ones obtained by Faugeras self-calibration method using Bayesian estimation error.The experimental results show that the method has high accuracy and reliability.
【Fund】: 山西省特色学科基金资助项目(80010302010053)
【CateGory Index】: TD634;TP391.41
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