{"title":"使用运动从正射影修剪3-D点匹配","authors":"Homer H. Chen, T. S. Huang","doi":"10.1109/WVM.1989.47121","DOIUrl":null,"url":null,"abstract":"The authors presented a new method using motion constraint to prune 3-D point matches. The method discards noisy z coordinates of points and uses only x and y coordinates to compute motion. This method is specifically designed to resolve the matching ambiguity due to the use of large error tolerances in rigidity tests to account for depth errors. A least-squares solution of the motion problem is derived. Results show that this method is able to detect false matches more effectively than the traditional method which uses full 3-D coordinates.<<ETX>>","PeriodicalId":342419,"journal":{"name":"[1989] Proceedings. Workshop on Visual Motion","volume":"66 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Using motion from orthographic projections to prune 3-D point matches\",\"authors\":\"Homer H. Chen, T. S. Huang\",\"doi\":\"10.1109/WVM.1989.47121\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors presented a new method using motion constraint to prune 3-D point matches. The method discards noisy z coordinates of points and uses only x and y coordinates to compute motion. This method is specifically designed to resolve the matching ambiguity due to the use of large error tolerances in rigidity tests to account for depth errors. A least-squares solution of the motion problem is derived. Results show that this method is able to detect false matches more effectively than the traditional method which uses full 3-D coordinates.<<ETX>>\",\"PeriodicalId\":342419,\"journal\":{\"name\":\"[1989] Proceedings. Workshop on Visual Motion\",\"volume\":\"66 6\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1989] Proceedings. Workshop on Visual Motion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WVM.1989.47121\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1989] Proceedings. Workshop on Visual Motion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WVM.1989.47121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using motion from orthographic projections to prune 3-D point matches
The authors presented a new method using motion constraint to prune 3-D point matches. The method discards noisy z coordinates of points and uses only x and y coordinates to compute motion. This method is specifically designed to resolve the matching ambiguity due to the use of large error tolerances in rigidity tests to account for depth errors. A least-squares solution of the motion problem is derived. Results show that this method is able to detect false matches more effectively than the traditional method which uses full 3-D coordinates.<>