Matthew DuVall, John Flynn, M. Broxton, P. Debevec
{"title":"Compositing light field video using multiplane images","authors":"Matthew DuVall, John Flynn, M. Broxton, P. Debevec","doi":"10.1145/3306214.3338614","DOIUrl":null,"url":null,"abstract":"We present a variety of new compositing techniques using Multi-plane Images (MPI's) [Zhou et al. 2018] derived from footage shot with an inexpensive and portable light field video camera array. The effects include camera stabilization, foreground object removal, synthetic depth of field, and deep compositing. Traditional compositing is based around layering RGBA images to visually integrate elements into the same scene, and often requires manual 2D and/or 3D artist intervention to achieve realism in the presence of volumetric effects such as smoke or splashing water. We leverage the newly introduced DeepView solver [Flynn et al. 2019] and a light field camera array to generate MPIs stored in the DeepEXR format for compositing with realistic spatial integration and a simple workflow which offers new creative capabilities. We demonstrate using this technique by combining footage that would otherwise be very challenging and time intensive to achieve when using traditional techniques, with minimal artist intervention.","PeriodicalId":216038,"journal":{"name":"ACM SIGGRAPH 2019 Posters","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH 2019 Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3306214.3338614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
We present a variety of new compositing techniques using Multi-plane Images (MPI's) [Zhou et al. 2018] derived from footage shot with an inexpensive and portable light field video camera array. The effects include camera stabilization, foreground object removal, synthetic depth of field, and deep compositing. Traditional compositing is based around layering RGBA images to visually integrate elements into the same scene, and often requires manual 2D and/or 3D artist intervention to achieve realism in the presence of volumetric effects such as smoke or splashing water. We leverage the newly introduced DeepView solver [Flynn et al. 2019] and a light field camera array to generate MPIs stored in the DeepEXR format for compositing with realistic spatial integration and a simple workflow which offers new creative capabilities. We demonstrate using this technique by combining footage that would otherwise be very challenging and time intensive to achieve when using traditional techniques, with minimal artist intervention.
我们提出了各种新的合成技术,使用多平面图像(MPI) [Zhou等人,2018],这些图像来自于使用廉价和便携式光场摄像机阵列拍摄的镜头。这些效果包括相机稳定、前景物体移除、合成景深和深度合成。传统的合成是基于分层RGBA图像,将视觉元素整合到同一个场景中,并且通常需要手动2D和/或3D艺术家干预,以实现在烟雾或飞溅水等体积效果存在的现实主义。我们利用新推出的DeepView求解器[Flynn et al. 2019]和光场相机阵列来生成存储在DeepEXR格式的mpi,以便与现实的空间集成和简单的工作流程进行合成,从而提供新的创作能力。我们通过结合镜头来演示使用这种技术,否则使用传统技术时将非常具有挑战性和时间密集,以最小的艺术家干预实现。