Structured light sensors for 3-D robot vision explain how non-uniform beams of light can reveal true 3-D positions.
This approach uses a light plane or wedge that illuminates a body, while a camera observes the resulting stripe from a offset position to compute depth.
The method relies on a measurable property impressed on the light, kept constant in vertical slices but varying across the wedge. By comparing two images taken under different illumination, the system forms a ratio of intensities that remains invariant under reflection. That ratio, together with triangulation, lets researchers infer the three-dimensional locations of visible surface points. The concept aims to speed up surface reconstruction compared with older methods and discusses practical challenges like camera response, focus, and ambient light.
- How a striped light scheme creates 3-D data without moving parts
- How a ratio of two intensities can stay stable for depth calculations
- Why invariance under reflection matters for accurate sensing
- What practical issues can affect accuracy and how to address them
Ideal for readers interested in robotics, computer vision, and practical 3-D sensing techniques.