A Camera Calibration Method Based on Genetic Algorithm

被引：2
|
作者：
Liu, Peng [1 ]
Zhang, Jianwei [1 ]
Guo, Konghui [1 ]
机构：
[1] Jilin Univ, State Key Lab Automobile Simulat & Control, Changchun, Peoples R China
来源：
2015 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS IHMSC 2015, VOL II | 2015年
关键词：
machine vision; camera calibration; genetic algorithm;
D O I：
10.1109/IHMSC.2015.246
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A camera calibration algorithm based on genetic algorithm is proposed. Build the camera imaging model; choose the calibration parameters in the camera model and choose them as the genes in genetic algorithm; set fitness function, probability of performing crossover and other parameters in the genetic algorithm and use genetic algorithm to solve the calibration parameters. The calibration results show that the proposed method has higher precision than Tsai's calibration algorithm.
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收藏
页数：4
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