{"title":"多视点视频生成的快速遮挡填充方法","authors":"A. Khatiullin, Mikhail Erofeev, D. Vatolin","doi":"10.1109/3DTV.2018.8478562","DOIUrl":null,"url":null,"abstract":"Occlusion filling is a basic problem for multiview video generation from existing monocular video. The essential goal of this problem is to recover missing information about a scenes 3D structure and corresponding texture.We propose a method for content-aware deformation of the source view that ensures no disoccluded regions are visible in the synthesized views while also keeping visible distortions to a minimum. We formulate this problem in terms of global energy min-imization. Furthermore, we introduce a similar variable-rejection algorithm that, along with other known optimization techniques, allows us to accelerate the energy function minimization by nearly 30 times and still maintain the visual quality of the synthesized views.","PeriodicalId":267389,"journal":{"name":"2018 - 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"FAST OCCLUSION FILLING METHOD FOR MULTIVIEW VIDEO GENERATION\",\"authors\":\"A. Khatiullin, Mikhail Erofeev, D. Vatolin\",\"doi\":\"10.1109/3DTV.2018.8478562\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Occlusion filling is a basic problem for multiview video generation from existing monocular video. The essential goal of this problem is to recover missing information about a scenes 3D structure and corresponding texture.We propose a method for content-aware deformation of the source view that ensures no disoccluded regions are visible in the synthesized views while also keeping visible distortions to a minimum. We formulate this problem in terms of global energy min-imization. Furthermore, we introduce a similar variable-rejection algorithm that, along with other known optimization techniques, allows us to accelerate the energy function minimization by nearly 30 times and still maintain the visual quality of the synthesized views.\",\"PeriodicalId\":267389,\"journal\":{\"name\":\"2018 - 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)\",\"volume\":\"134 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 - 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/3DTV.2018.8478562\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 - 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3DTV.2018.8478562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FAST OCCLUSION FILLING METHOD FOR MULTIVIEW VIDEO GENERATION
Occlusion filling is a basic problem for multiview video generation from existing monocular video. The essential goal of this problem is to recover missing information about a scenes 3D structure and corresponding texture.We propose a method for content-aware deformation of the source view that ensures no disoccluded regions are visible in the synthesized views while also keeping visible distortions to a minimum. We formulate this problem in terms of global energy min-imization. Furthermore, we introduce a similar variable-rejection algorithm that, along with other known optimization techniques, allows us to accelerate the energy function minimization by nearly 30 times and still maintain the visual quality of the synthesized views.