{"title":"一种基于参数法的半球表面改进方法","authors":"Xuecong Han, Shanna Zhuang, W. Lu, Zhengyou Wang","doi":"10.1109/ICCEAI52939.2021.00002","DOIUrl":null,"url":null,"abstract":"In recent years, multi-mode ultra-wide Angle imaging sensor. Because of the wide field of view, it can synthesize the complementary information of all kinds of images. The multi-mode fusion image has more abundant scene information, and more and more attention has been paid to it. Ultra-wide Angle images usually have image distortion. It brings difficulties to image registration and fusion. In this paper, lens distortion classification and lens imaging principle of ultra-wide Angle image distortion are analyzed. An improved hemispheric algorithm is proposed to correct the barrel distortion of ultra-wide Angle images. Finally, the experimental results of the three distortion correction algorithms are compared and evaluated. Our method reduces the correction error and improves the correction effect.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A hemispheric surface improvement method based on parametric method\",\"authors\":\"Xuecong Han, Shanna Zhuang, W. Lu, Zhengyou Wang\",\"doi\":\"10.1109/ICCEAI52939.2021.00002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, multi-mode ultra-wide Angle imaging sensor. Because of the wide field of view, it can synthesize the complementary information of all kinds of images. The multi-mode fusion image has more abundant scene information, and more and more attention has been paid to it. Ultra-wide Angle images usually have image distortion. It brings difficulties to image registration and fusion. In this paper, lens distortion classification and lens imaging principle of ultra-wide Angle image distortion are analyzed. An improved hemispheric algorithm is proposed to correct the barrel distortion of ultra-wide Angle images. Finally, the experimental results of the three distortion correction algorithms are compared and evaluated. Our method reduces the correction error and improves the correction effect.\",\"PeriodicalId\":331409,\"journal\":{\"name\":\"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEAI52939.2021.00002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEAI52939.2021.00002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A hemispheric surface improvement method based on parametric method
In recent years, multi-mode ultra-wide Angle imaging sensor. Because of the wide field of view, it can synthesize the complementary information of all kinds of images. The multi-mode fusion image has more abundant scene information, and more and more attention has been paid to it. Ultra-wide Angle images usually have image distortion. It brings difficulties to image registration and fusion. In this paper, lens distortion classification and lens imaging principle of ultra-wide Angle image distortion are analyzed. An improved hemispheric algorithm is proposed to correct the barrel distortion of ultra-wide Angle images. Finally, the experimental results of the three distortion correction algorithms are compared and evaluated. Our method reduces the correction error and improves the correction effect.