Euclidean position estimation of static features using a moving camera with known velocities

The estimation of 3D Euclidean coordinates of features from 2D images continues to be a problem of significant interest. In this paper we develop a 3D Euclidean position estimation strategy for a static object using a single moving camera whose motion is known. The Euclidean depth estimator which is developed has a very simple mathematical structure and is easy to implement. Numerical simulations are presented to illustrate the performance of the algorithm and an extension for a paracatadioptric system is briefly discussed.