RISA: A Real-Time Interactive Shadow Avatar

Yangmi Lim, Jinsu Kim, Jinseok Chae
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Abstract

As Webcams become an important factor in the PC environment, many camera-based communication techniques have been developed. Among them, gesture-based communication is attracting attention. In this paper, we propose a real-time interactive shadow avatar (RISA) which can express facial emotions by changing as response to the user's gestures. The avatar's shape is a virtual shadow constructed from a real-time sampled picture of user's shape. Several predefined facial animations overlap on the face area of the virtual shadow, according to the types of hand gestures. We use the background subtraction method to separate the virtual shadow, and a simplified region-based tracking method is adopted for tracking hand positions and detecting hand gestures. In order to achieve a smooth change of emotions, we use a refined morphing method which uses many more frames in contrast to traditional dynamic emoticons. Through our experiments, we found that in the cases where there was enough distance between a camera and a user, the accuracy was higher than in the cases where the distance between them was very close. We have found RISA to be very useful in simple online chatting and PC game environments and it was also highlighted in a real media art exhibition.
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RISA:一个实时互动的影子化身
随着网络摄像头成为PC环境中的一个重要因素,许多基于摄像头的通信技术被开发出来。其中,基于手势的交流方式备受关注。在本文中,我们提出了一种实时交互式影子化身(RISA),它可以通过响应用户的手势来改变面部情绪。虚拟角色的形状是由用户的实时形状采样图像构建的虚拟阴影。根据手势的类型,几个预定义的面部动画重叠在虚拟阴影的面部区域上。采用背景减法分离虚拟阴影,采用简化的基于区域的跟踪方法进行手部位置跟踪和手势检测。为了实现情绪的平滑变化,我们使用了一种改进的变形方法,与传统的动态表情相比,使用了更多的帧。通过我们的实验,我们发现在相机和用户之间有足够距离的情况下,准确度比两者之间距离很近的情况下要高。我们发现RISA在简单的在线聊天和PC游戏环境中非常有用,并且在一个真实的媒体艺术展览中也得到了强调。
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