AR-MoCap: Using Augmented Reality to Support Motion Capture Acting

Alberto Cannavò, F. G. Pratticò, Alberto Bruno, Fabrizio Lamberti
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Abstract

Technology is disrupting the way films involving visual effects are produced. Chroma-key, LED walls, motion capture (mocap), 3D visual storyboards, and simulcams are only a few examples of the many changes introduced in the cinema industry over the last years. Although these technologies are getting commonplace, they are presenting new, unexplored challenges to the actors. In particular, when mocap is used to record the actors' movements with the aim of animating digital character models, an increase in the workload can be easily expected for people on stage. In fact, actors have to largely rely on their imagination to understand what the digitally created characters will be actually seeing and feeling. This paper focuses on this specific domain, and aims to demonstrate how Augmented Reality (AR) can be helpful for actors when shooting mocap scenes. To this purpose, we devised a system named AR-MoCap that can be used by actors for rehearsing the scene in AR on the real set before actually shooting it. Through an Optical See-Through Head-Mounted Display (OST-HMD), an actor can see, e.g., the digital characters of other actors wearing mocap suits overlapped in real-time to their bodies. Experimental results showed that, compared to the traditional approach based on physical props and other cues, the devised system can help the actors to position themselves and direct their gaze while shooting the scene, while also improving spatial and social presence, as well as perceived effectiveness.
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AR-MoCap:使用增强现实来支持动作捕捉表演
科技正在颠覆包含视觉效果的电影的制作方式。色度键、LED墙、动作捕捉(mocap)、3D视觉故事板和模拟摄像机只是过去几年电影行业引入的许多变化的几个例子。尽管这些技术正变得越来越普遍,但它们也给参与者带来了新的、未探索的挑战。特别是,当动作捕捉被用来记录演员的动作,目的是动画数字角色模型,工作量的增加可以很容易地预期在舞台上的人。事实上,演员必须在很大程度上依靠他们的想象力来理解数字创造的角色实际看到和感受到的东西。本文聚焦于这一特定领域,旨在展示增强现实(AR)如何在拍摄动作捕捉场景时为演员提供帮助。为此,我们设计了一个名为AR- mocap的系统,演员可以在实际拍摄前在真实场景中使用AR来排练场景。通过光学透视头戴式显示器(OST-HMD),演员可以看到,例如,穿着动作捕捉服的其他演员的数字角色与他们的身体实时重叠。实验结果表明,与传统的基于物理道具和其他线索的方法相比,所设计的系统可以帮助演员在拍摄场景时定位自己并引导他们的视线,同时还可以提高空间和社会存在以及感知有效性。
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