Rapidly developing technologies are realizing a 3D telepresence, in which geographically separated users can interact with each other through their virtual avatars. In this article, we present novel methods to determine the avatar’s position in an indoor space to preserve the semantics of the user’s position in a dissimilar indoor space with different space configurations and furniture layouts. To this end, we first perform a user survey on the preferred avatar placements for various indoor configurations and user placements, and identify a set of related attributes, including interpersonal relation, visual attention, pose, and spatial characteristics, and quantify these attributes with a set of features. By using the obtained dataset and identified features, we train a neural network that predicts the similarity between two placements. Next, we develop an avatar placement method that preserves the semantics of the placement of the remote user in a different space as much as possible. We show the effectiveness of our methods by implementing a prototype AR-based telepresence system and user evaluations.

中文翻译：

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将虚拟化身重新定位到不同的室内环境

快速发展的技术正在实现 3D 远程呈现，其中地理上分离的用户可以通过他们的虚拟化身相互交互。在本文中，我们提出了确定化身在室内空间中位置的新方法，以在具有不同空间配置和家具布局的不同室内空间中保留用户位置的语义。为此，我们首先对各种室内配置和用户放置的首选头像放置进行用户调查，并确定一组相关属性，包括人际关系、视觉注意力、姿势和空间特征，并用一组功能。通过使用获得的数据集和识别的特征，我们训练了一个神经网络来预测两个位置之间的相似性。下一个，我们开发了一种头像放置方法，尽可能地保留远程用户在不同空间中放置的语义。我们通过实施基于 AR 的原型远程呈现系统和用户评估来展示我们方法的有效性。