{"title":"Feel3D: Free Viewpoint Video Recording Mechanism for Premeditated Scenarios, Using Pre-built Models","authors":"B. N. Wickramasinghe, N. Kodikara","doi":"10.1109/UKSim.2012.31","DOIUrl":null,"url":null,"abstract":"Current Free Viewpoint Video making methods depends on real-time video footage to synthesize new views or apply texture on models in the video. This approach faces challenges in producing structurally and textually correct views when video recording conditions change. This project focuses on using pre-built 3D models for FVV making. As opposed to conventional FVV making methods, proposed approach will produce better quality 3D FVV with less processing. Furthermore, the project will introduce a new framework for 3D free viewpoint videos. The 3D FVVs made with the proposed approach will allow efficient storage and frugal bandwidth usage during transmission. Following sections will present about employed motion tracking method, use of 3D models and how all the parts are combined to produce the free viewpoint video. The latter stages will discuss strengths and limitations as well as the effect of this approach on commercial and research interests related to FVVs.","PeriodicalId":405479,"journal":{"name":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UKSim.2012.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Current Free Viewpoint Video making methods depends on real-time video footage to synthesize new views or apply texture on models in the video. This approach faces challenges in producing structurally and textually correct views when video recording conditions change. This project focuses on using pre-built 3D models for FVV making. As opposed to conventional FVV making methods, proposed approach will produce better quality 3D FVV with less processing. Furthermore, the project will introduce a new framework for 3D free viewpoint videos. The 3D FVVs made with the proposed approach will allow efficient storage and frugal bandwidth usage during transmission. Following sections will present about employed motion tracking method, use of 3D models and how all the parts are combined to produce the free viewpoint video. The latter stages will discuss strengths and limitations as well as the effect of this approach on commercial and research interests related to FVVs.