{"title":"基于中点圆算法的嵌入式实时鱼眼畸变校正方法","authors":"Yongle Li, Maojun Zhang, Bin Wang","doi":"10.1109/ICCE.2011.5722533","DOIUrl":null,"url":null,"abstract":"This paper presents a new real-time fish-eye distortion correction algorithm based on Midpoint Circle Algorithm with application in IP network camera. In particular, our method is no need of a planar checkerboard, iterative fitting of model parameters, complex computation, or traditional lookup table. Hence, our algorithm is very suitable for embedded camera platform without any extra hardware resources.","PeriodicalId":256368,"journal":{"name":"2011 IEEE International Conference on Consumer Electronics (ICCE)","volume":"37 Suppl 8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An embedded real-time fish-eye distortion correction method based on Midpoint Circle Algorithm\",\"authors\":\"Yongle Li, Maojun Zhang, Bin Wang\",\"doi\":\"10.1109/ICCE.2011.5722533\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new real-time fish-eye distortion correction algorithm based on Midpoint Circle Algorithm with application in IP network camera. In particular, our method is no need of a planar checkerboard, iterative fitting of model parameters, complex computation, or traditional lookup table. Hence, our algorithm is very suitable for embedded camera platform without any extra hardware resources.\",\"PeriodicalId\":256368,\"journal\":{\"name\":\"2011 IEEE International Conference on Consumer Electronics (ICCE)\",\"volume\":\"37 Suppl 8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Consumer Electronics (ICCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE.2011.5722533\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Consumer Electronics (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE.2011.5722533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An embedded real-time fish-eye distortion correction method based on Midpoint Circle Algorithm
This paper presents a new real-time fish-eye distortion correction algorithm based on Midpoint Circle Algorithm with application in IP network camera. In particular, our method is no need of a planar checkerboard, iterative fitting of model parameters, complex computation, or traditional lookup table. Hence, our algorithm is very suitable for embedded camera platform without any extra hardware resources.