{"title":"用于三维物体重建的多重立体视觉","authors":"M. Celenk, R. Bachnak","doi":"10.1109/ICSYSE.1990.203217","DOIUrl":null,"url":null,"abstract":"A vision system for 3D information extraction and surface reconstruction of objects in a robot workspace is described. The system consists of N cameras arranged in an N/2 periodic stereo pair structure. The surface reconstruction is performed in two stages. The 3D data from different perspectives are inferred independently using a periodic stereo structure, and then the extracted information from neighboring camera pairs is used to reconstruct the surface of the object","PeriodicalId":259801,"journal":{"name":"1990 IEEE International Conference on Systems Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Multiple stereo vision for 3D object reconstruction\",\"authors\":\"M. Celenk, R. Bachnak\",\"doi\":\"10.1109/ICSYSE.1990.203217\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A vision system for 3D information extraction and surface reconstruction of objects in a robot workspace is described. The system consists of N cameras arranged in an N/2 periodic stereo pair structure. The surface reconstruction is performed in two stages. The 3D data from different perspectives are inferred independently using a periodic stereo structure, and then the extracted information from neighboring camera pairs is used to reconstruct the surface of the object\",\"PeriodicalId\":259801,\"journal\":{\"name\":\"1990 IEEE International Conference on Systems Engineering\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1990 IEEE International Conference on Systems Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSYSE.1990.203217\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1990 IEEE International Conference on Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSYSE.1990.203217","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiple stereo vision for 3D object reconstruction
A vision system for 3D information extraction and surface reconstruction of objects in a robot workspace is described. The system consists of N cameras arranged in an N/2 periodic stereo pair structure. The surface reconstruction is performed in two stages. The 3D data from different perspectives are inferred independently using a periodic stereo structure, and then the extracted information from neighboring camera pairs is used to reconstruct the surface of the object
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
