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Poor Man's Virtual Camera: Real-Time Simultaneous Matting and Camera Pose Estimation
IEEE Computer Graphics and Applications ( IF 1.8 ) Pub Date : 2019-11-01 , DOI: 10.1109/mcg.2016.39
Istvan Szentandrasi 1 , Marketa Dubska 1 , Michal Zacharias 1 , Adam Herout 1
Affiliation  

Today's film and advertisement production heavily uses computer graphics combined with living actors by chroma keying. The matchmoving process typically takes a considerable manual effort. Semiautomatic matchmoving tools exist as well, but they still work offline and require manual check-up and correction. In this paper, we propose an instant matchmoving solution for green screen. It uses a recent technique of planar uniform marker fields. Our technique can be used in indie and professional filmmaking as a cheap and ultramobile virtual camera, and for shot prototyping and storyboard creation. The matchmoving technique based on marker fields of shades of green is very computationally efficient: we developed and present in this paper a mobile application running at 33 FPS. Our technique is thus available to anyone with a smartphone at low cost and with an easy setup, opening space for new levels of filmmakers’ creative expression.

中文翻译:

穷人的虚拟相机:实时同步抠图和相机姿态估计

今天的电影和广告制作大量使用计算机图形与通过色度键控结合的现场演员。匹配移动过程通常需要大量的人工操作。也存在半自动匹配移动工具,但它们仍可脱机工作并需要手动检查和更正。在本文中,我们提出了一种用于绿屏的即时匹配移动解决方案。它使用最新的平面均匀标记场技术。我们的技术可用于独立和专业电影制作,作为廉价且超移动的虚拟摄像机,以及镜头原型和故事板创建。基于绿色阴影标记场的匹配移动技术在计算上非常高效:我们在本文中开发并展示了一个以 33 FPS 运行的移动应用程序。
更新日期:2019-11-01
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