{"title":"使用投影变换和数据融合的单平面模型扩展","authors":"R. Collins","doi":"10.1109/CVPR.1992.223183","DOIUrl":null,"url":null,"abstract":"A priori knowledge of the relative positions of four or more coplanar points or lines is used to derive the positions of other points and lines on the same plane in a manner invariant to camera location and intrinsic camera parameters. A framework for data fusion in the projective plane is presented to merge the position estimates of coplanar points and lines derived in this way.<<ETX>>","PeriodicalId":325476,"journal":{"name":"Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","volume":"797 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Single plane model extension using projective transformations and data fusion\",\"authors\":\"R. Collins\",\"doi\":\"10.1109/CVPR.1992.223183\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A priori knowledge of the relative positions of four or more coplanar points or lines is used to derive the positions of other points and lines on the same plane in a manner invariant to camera location and intrinsic camera parameters. A framework for data fusion in the projective plane is presented to merge the position estimates of coplanar points and lines derived in this way.<<ETX>>\",\"PeriodicalId\":325476,\"journal\":{\"name\":\"Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition\",\"volume\":\"797 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CVPR.1992.223183\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CVPR.1992.223183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Single plane model extension using projective transformations and data fusion
A priori knowledge of the relative positions of four or more coplanar points or lines is used to derive the positions of other points and lines on the same plane in a manner invariant to camera location and intrinsic camera parameters. A framework for data fusion in the projective plane is presented to merge the position estimates of coplanar points and lines derived in this way.<>