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Selection of Large-Scale 3D Point Cloud Data Using Gesture Recognition

机译:使用手势识别选择大型3D点云数据

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An essential task when visualizing and analyzing large-scale 3D point cloud data is the selection of subsets of that data. This presents two challenges, the need for a selection method that is independent of the size of the dataset and how to interact with a 3D space effectively in a digital world still rooted in 2D interaction and visualization. We present an interface for defining volumes to select 3D point cloud data that uses hand gesture control with a Leap Motion device. The use of volumes is scalable to very large datasets, and the use of the Leap Motion gives the user access to the third dimension, facilitating interaction with the point cloud data. We illustrate with a large astronomical data archive hosted on the cloud that is retrieved on as-needed basis.
机译:可视化和分析大规模3D点云数据时的一项基本任务是选择该数据的子集。这提出了两个挑战,即需要一种与数据集的大小无关的选择方法,以及如何在仍然植根于2D交互和可视化的数字世界中如何有效地与3D空间交互。我们提供一个用于定义体积以选择3D点云数据的界面,该数据通过Leap Motion设备使用手势控制。卷的使用可扩展到非常大的数据集,而Leap Motion的使用使用户可以访问三维空间,从而促进与点云数据的交互。我们以托管在云端的大型天文数据存档为例进行说明,并根据需要进行检索。

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