{"title":"从一组立体视觉观察中学习3D物体描述","authors":"J. J. D. Jong, J. Buurman","doi":"10.1109/ICPR.1992.201673","DOIUrl":null,"url":null,"abstract":"Describes a system for learning models of polyhedral objects. The system does not require exact knowledge about poses, instead only some course requirements are needed. The system obtains a 3D wireframe model of the object together with the statistical data. This is illustrated with an example.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Learning 3D object descriptions from a set of stereo vision observations\",\"authors\":\"J. J. D. Jong, J. Buurman\",\"doi\":\"10.1109/ICPR.1992.201673\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Describes a system for learning models of polyhedral objects. The system does not require exact knowledge about poses, instead only some course requirements are needed. The system obtains a 3D wireframe model of the object together with the statistical data. This is illustrated with an example.<<ETX>>\",\"PeriodicalId\":410961,\"journal\":{\"name\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"volume\":\"116 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"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.1992.201673\",\"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.1992.201673","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Learning 3D object descriptions from a set of stereo vision observations
Describes a system for learning models of polyhedral objects. The system does not require exact knowledge about poses, instead only some course requirements are needed. The system obtains a 3D wireframe model of the object together with the statistical data. This is illustrated with an example.<>