Uncalibrated vision based on structured light

Abstract

The recovery of the three-dimensional structure of the environment is a pre-requisite for many tasks in mobile robotics. Unfortunately, calibration acts as a brake upon visual adaptation and robotic autonomy. We provide tools and constraints based on structured light for a complete and efficient uncalibrated Euclidean reconstruction of the environment. Experimental results achieved both on simulated and real data validate the method.