多视点视频生成的快速遮挡填充方法

A. Khatiullin, Mikhail Erofeev, D. Vatolin
{"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}
引用次数: 1

摘要

遮挡填充是现有单目视频生成多视点视频的一个基本问题。该问题的基本目标是恢复场景三维结构和相应纹理的缺失信息。我们提出了一种源视图的内容感知变形方法,该方法确保在合成视图中看不到未遮挡的区域,同时将可见的变形保持在最低限度。我们用全球能源最小化来表述这个问题。此外,我们引入了一个类似的变量拒绝算法,该算法与其他已知的优化技术一起,使我们能够将能量函数最小化的速度提高近30倍,并且仍然保持合成视图的视觉质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信