{"title":"基于遗传算法的摄像机标定方法","authors":"Peng Liu, Jianwei Zhang, K. Guo","doi":"10.1109/IHMSC.2015.246","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"41 1","pages":"565-568"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Camera Calibration Method Based on Genetic Algorithm\",\"authors\":\"Peng Liu, Jianwei Zhang, K. Guo\",\"doi\":\"10.1109/IHMSC.2015.246\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":6592,\"journal\":{\"name\":\"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"volume\":\"41 1\",\"pages\":\"565-568\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IHMSC.2015.246\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2015.246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Camera Calibration Method Based on Genetic Algorithm
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
