A New Observer for Perspective Vision Systems Under Noisy Measurements

Abstract

A simple design of observers for the range identification problem in perspective vision systems is given based on nonlinear contraction theory and synchronization. Exponential convergence to the object coordinates is achieved. In the presence of significant measurement noise, the performance is improved by synchronization among a group of observers.