论文标题
REVIVD：使用3D形状在沉浸式环境中探索和过滤轨迹
ReViVD: Exploration and Filtering of Trajectories in an Immersive Environment using 3D Shapes
论文作者
论文摘要
我们提出Revivd，这是一种使用虚拟现实来探索和过滤基于大型轨迹的数据集的工具。 Revivd的新颖性在于使用简单的3D形状（例如Cuboids，Spheres和Alinders）作为用户选择和过滤轨迹组的疑问。在这个简单的范式的基础上，可以通过通过用户创建的布尔操作系统组合先前制作的选择组来创建更复杂的查询。我们证明了Revivd在不同应用程序域中的使用，从GPS位置跟踪到模拟数据（例如湍流粒子流和交通模拟）。我们的结果表明，在广泛的探索性任务中，3D几何形状的使用易于使用和表现力。发现Revivd对于逐步精制选择以隔离外围行为特别有用。它也是一种强大的通信工具，可以将正常抽象数据集的结构传达给受众。
We present ReViVD, a tool for exploring and filtering large trajectory-based datasets using virtual reality. ReViVD's novelty lies in using simple 3D shapes -- such as cuboids, spheres and cylinders -- as queries for users to select and filter groups of trajectories. Building on this simple paradigm, more complex queries can be created by combining previously made selection groups through a system of user-created Boolean operations. We demonstrate the use of ReViVD in different application domains, from GPS position tracking to simulated data (e.g., turbulent particle flows and traffic simulation). Our results show the ease of use and expressiveness of the 3D geometric shapes in a broad range of exploratory tasks. ReViVD was found to be particularly useful for progressively refining selections to isolate outlying behaviors. It also acts as a powerful communication tool for conveying the structure of normally abstract datasets to an audience.
