{"title":"基于时空目标分割、三维结构和跟踪的视频合成","authors":"E. Izquierdo, M. Ghanbari","doi":"10.1109/IV.1999.781558","DOIUrl":null,"url":null,"abstract":"A stereo vision based system for composition of natural and computer generated images is presented. The system focuses on the solution of four essential tasks in computer vision: disparity estimation, object segmentation, modeling and tracking. These tasks are performed in direct interaction with each other using novel and available multiview analysis techniques and standard computer graphics algorithms. The system is assessed by processing natural video sequences. Selected results are reported.","PeriodicalId":340240,"journal":{"name":"1999 IEEE International Conference on Information Visualization (Cat. No. PR00210)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Video composition by spatiotemporal object segmentation, 3D-structure and tracking\",\"authors\":\"E. Izquierdo, M. Ghanbari\",\"doi\":\"10.1109/IV.1999.781558\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A stereo vision based system for composition of natural and computer generated images is presented. The system focuses on the solution of four essential tasks in computer vision: disparity estimation, object segmentation, modeling and tracking. These tasks are performed in direct interaction with each other using novel and available multiview analysis techniques and standard computer graphics algorithms. The system is assessed by processing natural video sequences. Selected results are reported.\",\"PeriodicalId\":340240,\"journal\":{\"name\":\"1999 IEEE International Conference on Information Visualization (Cat. No. PR00210)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 IEEE International Conference on Information Visualization (Cat. No. PR00210)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IV.1999.781558\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 IEEE International Conference on Information Visualization (Cat. No. PR00210)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IV.1999.781558","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Video composition by spatiotemporal object segmentation, 3D-structure and tracking
A stereo vision based system for composition of natural and computer generated images is presented. The system focuses on the solution of four essential tasks in computer vision: disparity estimation, object segmentation, modeling and tracking. These tasks are performed in direct interaction with each other using novel and available multiview analysis techniques and standard computer graphics algorithms. The system is assessed by processing natural video sequences. Selected results are reported.