L-CAS 3D Point Cloud Annotation Tool

• Maintainer status: maintained
• Author: Zhi Yan
• License: CC BY-NC-SA 4.0
• Dataset: https://lcas.lincoln.ac.uk/wp/research/data-sets-software/l-cas-3d-point-cloud-people-dataset/

The tool provides a semi-automatic labeling function, means the 3D point cloud data (loaded from the PCD file) is first clustered to provide candidates for labeling, each candidate being a point cluster. Then, the user annotating the data, can label each object by indicating candidate's ID, category, and visibility. A flowchart of this process is shown below.

Compiling

Prerequisites

• Qt 4.x: sudo apt-get install libqt4-dev qt4-qmake
• VTK 5.x: sudo apt-get install libvtk5-dev
• PCL 1.7: sudo apt-get install libpcl-1.7-all-dev

Build script

• mkdir build
• cd build
• cmake ..
• make