3D reconstruction of the surgical scene using structured light

In this presentation we will briefly discuss the principles of structured light and some of its advantages and limitations in relation to other 3D imaging methods. We will then discuss the sequence of processing that is required for 3D reconstruction. This will include 2D image filters, stripe detection and indexing, 3D reconstruction into a point cloud, and 3D post-processing operations such as mesh triangulation, noise removal and smoothing. We will also discuss calibration requirements and procedures, and the system’s performance and its real-time capabilities for integration to augmented reality scene reconstruction.