{"title":"用投票算法对非线性运动进行直接估计,无需跟踪和匹配","authors":"T. Hamano, T. Yasuno, K. Ishii","doi":"10.1109/ICPR.1992.201610","DOIUrl":null,"url":null,"abstract":"Presents a robust approach to estimate structure from an image sequence taken by a moving camera. This approach is based on a Hough-type weighted voting algorithm and has the following features: (1) needs no feature tracking and no image-to-image matching; and (2) allows arbitrary nonlinear motion of camera. Experimental results using actual complex scenes are presented.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Direct estimation of structure from nonlinear motion by voting algorithm without tracking and matching\",\"authors\":\"T. Hamano, T. Yasuno, K. Ishii\",\"doi\":\"10.1109/ICPR.1992.201610\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presents a robust approach to estimate structure from an image sequence taken by a moving camera. This approach is based on a Hough-type weighted voting algorithm and has the following features: (1) needs no feature tracking and no image-to-image matching; and (2) allows arbitrary nonlinear motion of camera. Experimental results using actual complex scenes are presented.<<ETX>>\",\"PeriodicalId\":410961,\"journal\":{\"name\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1992.201610\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1992.201610","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Direct estimation of structure from nonlinear motion by voting algorithm without tracking and matching
Presents a robust approach to estimate structure from an image sequence taken by a moving camera. This approach is based on a Hough-type weighted voting algorithm and has the following features: (1) needs no feature tracking and no image-to-image matching; and (2) allows arbitrary nonlinear motion of camera. Experimental results using actual complex scenes are presented.<>