{"title":"摄像机根据不同的内禀参数和圆弧进行自标定","authors":"A. El Abderrahmani, K. Satori","doi":"10.1109/SAI.2016.7556149","DOIUrl":null,"url":null,"abstract":"This paper presents a robust and important method for the self-calibration of a numerical camera using a tridimensional unknown scene. The particularity of our technique resides in the use of an arc of the circle and the localization of some of the matching points detected in the use of an ensemble of images in order to define in an automated way the intrinsic parameters, which are unknown and variable. Our approach is based on minimizing the constraints of the self-calibration of the camera with the projection of the two extremities of chord of each pair of images. It is obvious that in order to produce good results from the simulations we have made the choice of the right programming language would be of prime importance. Our main criteria were simplicity, stability and performing algorithms. The results have proven that the selection of the aforementioned criteria was successful.","PeriodicalId":219896,"journal":{"name":"2016 SAI Computing Conference (SAI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Camera self-calibration with varying intrinsic parameters and arc of the circle\",\"authors\":\"A. El Abderrahmani, K. Satori\",\"doi\":\"10.1109/SAI.2016.7556149\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a robust and important method for the self-calibration of a numerical camera using a tridimensional unknown scene. The particularity of our technique resides in the use of an arc of the circle and the localization of some of the matching points detected in the use of an ensemble of images in order to define in an automated way the intrinsic parameters, which are unknown and variable. Our approach is based on minimizing the constraints of the self-calibration of the camera with the projection of the two extremities of chord of each pair of images. It is obvious that in order to produce good results from the simulations we have made the choice of the right programming language would be of prime importance. Our main criteria were simplicity, stability and performing algorithms. The results have proven that the selection of the aforementioned criteria was successful.\",\"PeriodicalId\":219896,\"journal\":{\"name\":\"2016 SAI Computing Conference (SAI)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 SAI Computing Conference (SAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAI.2016.7556149\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 SAI Computing Conference (SAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAI.2016.7556149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Camera self-calibration with varying intrinsic parameters and arc of the circle
This paper presents a robust and important method for the self-calibration of a numerical camera using a tridimensional unknown scene. The particularity of our technique resides in the use of an arc of the circle and the localization of some of the matching points detected in the use of an ensemble of images in order to define in an automated way the intrinsic parameters, which are unknown and variable. Our approach is based on minimizing the constraints of the self-calibration of the camera with the projection of the two extremities of chord of each pair of images. It is obvious that in order to produce good results from the simulations we have made the choice of the right programming language would be of prime importance. Our main criteria were simplicity, stability and performing algorithms. The results have proven that the selection of the aforementioned criteria was successful.