Lagevermessung in Bildern mit Hilfe von Korrelation und Eigenwertzerlegung

Zusammenfassung

The paper describes the position estimation of objects in images using correlation and singular value decomposition (SVD). The correlation is well known as an optimal method for position estimation in the presence of white noise, however in practice the method is often discarded by the high computational burden. The SVD allows to reduce this computational burden considerabely without introducing any systematic error and typically only with a small degradation of the estimation variance. These features are prooven by simulations and real object measurements.