How-to create 3D camera data with true colour information
Learn how to combine 3D depth data with accurate colour information for advanced vision applications. This video explains why colour is essential in 3D imaging and demonstrates practical methods to superimpose RGB (Red, Green, Blue) data from a 2D camera onto stereo vision depth maps for robotics and inspection tasks.
You’ll discover how to visualise 3D data, create point clouds, generate meshes, and map colour to 3D data efficiently. We also cover calibration steps, exporting coloured meshes, and using tools like NxView and CloudCompare for visualisation. Whether you need colour-rich 3D data for bin picking, AI-based segmentation, or quality control, this guide provides everything you need.
Topics covered
- Why colour information matters in 3D vision applications
- Visualising 3D data and creating point clouds
- Generating 3D meshes and exporting PLY (Polygon File Format) files
- Mapping colour to 3D data and projecting to RGB images
- Calibration of RGB and 3D cameras for accurate alignment
Video timeline
- 01:43 - Visualising 3D data
- 02:02 - Creating and using point clouds
- 03:10 - 3D mesh generation
- 04:20 - Mapping colour to 3D data
- 07:00 - Projecting to colour images
- 08:37 - RGB and 3D camera calibration
- 09:10 - Using FileCamera in NxView
- 10:00 - Exporting 3D mesh files
- 10:23 - Viewing in CloudCompare
- 11:33 - Mapping to left image of Ensenso
- 13:34 - Storing depth as grayscale
- 13:54 - Mapping to RGB image
- 14:49 - Summary
- 16:05 - Advantages of mapped 3D data
Who should watch
Ideal for vision engineers, robotics developers, and system integrators working on colour-sensitive 3D applications such as sorting, bin picking, and AI-driven inspection.
Watch now to master the integration of colour and depth data for smarter 3D vision solutions.
