Development of a Mobile Projector Camera System for Structured Light Scanning

The aim of this thesis to perform geometric self calibration of a projector camera system using only a smartphone and a small projector. The developed system is capable of performing Structured Light Scanning with off-the-shelf devices, namely a Nokia N900 smartphone and an Optoma PK 320 pico projector. We decouple the projector from the smartphone, which is our computational device and our camera. No information needs to be transferred through a direct connection between the projector and the smartphone during capture and digitisation. The system is capable of reconstructing rigid objects while the projector is being held in one hand and the camera is fixed. It can reconstruct dense depth maps of objects ranging in size from 5 to 50 cm. The performance of the system using three different types of pattern codification strategies is evaluated in terms of calibration accuracy and reconstruction quality. A system is presented capable of capturing the geometry of an object in less than one second and reconstructing it in less than 30 minutes on the smartphone or in less than 30 seconds on a current desktop PC.