Camera tracking in visual effects an industry perspective of structure from motion

Alastair Barber, D. Cosker, Oliver James, Ted Waine, Radhika J. Patel
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引用次数: 12

Abstract

The 'Matchmove', or camera-tracking process is a crucial task and one of the first to be performed in the visual effects pipeline. An accurate solve for camera movement is imperative and will have an impact on almost every other part of the pipeline downstream. In this work we present a comprehensive analysis of the process at a major visual effects studio, drawing on a large dataset of real shots. We also present guidelines and rules-of-thumb for camera tracking scheduling which are, in what we believe to be an industry first, backed by statistical data drawn from our dataset. We also make available data from our pipeline which shows the amount of time spent on camera tracking and the types of shot that are most common in our work. We hope this will be of interest to the wider computer vision research community and will assist in directing future research.
视觉特效中的摄像机跟踪:从运动中观察结构的工业视角
“匹配移动”,或摄像机跟踪过程是一个至关重要的任务,也是第一个在视觉效果管道中执行的任务之一。相机运动的精确解决是必不可少的,并且将对下游管道的几乎所有其他部分产生影响。在这项工作中,我们提出了一个全面的分析过程在一个主要的视觉效果工作室,绘制在真实镜头的大数据集。我们还提出了相机跟踪调度的指导方针和经验法则,我们认为这是行业首创,由我们的数据集得出的统计数据支持。我们还从我们的管道中提供数据,其中显示了在相机跟踪和拍摄类型上花费的时间,这在我们的工作中最常见。我们希望这将引起更广泛的计算机视觉研究界的兴趣,并将有助于指导未来的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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