{"title":"从运动角度考虑多帧结构运动误差","authors":"J. Oliensis, J. I. Thomas","doi":"10.1109/WVM.1991.212794","DOIUrl":null,"url":null,"abstract":"Recovering structure from motion even using information from multiple image frames is difficult, in part because motion error can introduce large, correlated errors in the structure estimate. They propose a method for recursively recovering structure from motion that can deal with this problem. Encouraging results on real images and synthetic data are reported.<<ETX>>","PeriodicalId":208481,"journal":{"name":"Proceedings of the IEEE Workshop on Visual Motion","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"54","resultStr":"{\"title\":\"Incorporating motion error in multi-frame structure from motion\",\"authors\":\"J. Oliensis, J. I. Thomas\",\"doi\":\"10.1109/WVM.1991.212794\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recovering structure from motion even using information from multiple image frames is difficult, in part because motion error can introduce large, correlated errors in the structure estimate. They propose a method for recursively recovering structure from motion that can deal with this problem. Encouraging results on real images and synthetic data are reported.<<ETX>>\",\"PeriodicalId\":208481,\"journal\":{\"name\":\"Proceedings of the IEEE Workshop on Visual Motion\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"54\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE Workshop on Visual Motion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WVM.1991.212794\",\"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 of the IEEE Workshop on Visual Motion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WVM.1991.212794","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Incorporating motion error in multi-frame structure from motion
Recovering structure from motion even using information from multiple image frames is difficult, in part because motion error can introduce large, correlated errors in the structure estimate. They propose a method for recursively recovering structure from motion that can deal with this problem. Encouraging results on real images and synthetic data are reported.<>