HCGRApr 11, 2018

Visualization and Labeling of Point Clouds in Virtual Reality

arXiv:1804.04111v147 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental tool for researchers or practitioners needing efficient labeling of point cloud data in VR environments.

The authors developed a Virtual Reality application for labeling point cloud data, enabling users to interactively select and label objects in recorded sequences, such as juggling pins, with features like frame-by-frame tracking to streamline the process.

We present a Virtual Reality (VR) application for labeling and handling point cloud data sets. A series of room-scale point clouds are recorded as a video sequence using a Microsoft Kinect. The data can be played and paused, and frames can be skipped just like in a video player. The user can walk around and inspect the data while it is playing or paused. Using the tracked hand-held controller, the user can select and label individual parts of the point cloud. The points are highlighted with a color when they are labeled. With a tracking algorithm, the labeled points can be tracked from frame to frame to ease the labeling process. Our sample data is an RGB point cloud recording of two people juggling with pins. Here, the user can select and label, for example, the juggler pins as shown in Figure 1. Each juggler pin is labeled with various colors to indicate di erent labels.

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