论文标题
标签基于指导的对象位于虚拟现实中
Label Guidance based Object Locating in Virtual Reality
论文作者
论文摘要
在虚拟现实中定位的对象已广泛用于许多VR应用中,例如虚拟组件,虚拟维修,虚拟远程教练。但是,当虚拟环境中有大量对象(VE)时,用户无法有效,舒适地定位目标对象。在本文中,我们提出了一种基于标签指导的对象定位方法,用于在VR中有效地定位目标对象。首先,我们介绍基于标签的基于标签的对象定位管道,以提高对象定位的效率。它在同一屏幕上安排所有对象的标签,让用户首先选择目标标签,然后使用飞行标签将用户引导到目标对象。然后,我们总结了五个用于构建对象定位标签布局的原则,并根据用户有效且舒适地选择候选标签的五个原则,提出了一个两级分类和定向标签的布局。之后,我们提出了基于视图和凝视的标签指导方法,以指导用户根据选定的候选标签找到目标对象。它生成了用于候选标签的特定飞行轨迹,更新候选标签的飞行速度,保留有效的候选标签,并删除与候选实验室的无效候选候选标签。与传统方法相比,用户研究结果表明,我们的方法可显着提高效率并减少对象定位的任务负载。
Object locating in virtual reality (VR) has been widely used in many VR applications, such as virtual assembly, virtual repair, virtual remote coaching. However, when there are a large number of objects in the virtual environment(VE), the user cannot locate the target object efficiently and comfortably. In this paper, we propose a label guidance based object locating method for locating the target object efficiently in VR. Firstly, we introduce the label guidance based object locating pipeline to improve the efficiency of the object locating. It arranges the labels of all objects on the same screen, lets the user select the target labels first, and then uses the flying labels to guide the user to the target object. Then we summarize five principles for constructing the label layout for object locating and propose a two-level hierarchical sorted and orientated label layout based on the five principles for the user to select the candidate labels efficiently and comfortably. After that, we propose the view and gaze based label guidance method for guiding the user to locate the target object based on the selected candidate labels.It generates specific flying trajectories for candidate labels, updates the flying speed of candidate labels, keeps valid candidate labels , and removes the invalid candidate labels in real time during object locating with the guidance of the candidate labels. Compared with the traditional method, the user study results show that our method significantly improves efficiency and reduces task load for object locating.