Exact Observer Error Linearization for Perspective Dynamic Systems
Ola Dahl, Anders Heyden · Malmö University Publications (Malmö University) · 2008
Estimation of 3D position information from 2D images in computer vision systems can be formulated as a state estimation problem for a nonlinear perspective dynamic system. The state estimation can be performed using different kinds of nonlinear observers. In this paper we investigate observer error linearization, where the goal is to find a coordinate transformation that results in a system for which a linear observer can be constructed. It is shown that using a state transformation combined with an output transformation, the system admits an observer form which leads to an observer with linear error dynamics.