Robust Estimation of Some Nonregular Parameters

Robust Estimation of Tail Parameters

Robust estimation of shape parameters

We investigate the use of Robust Estimation in an application requiring the accurate location of the centres of circular objects in an image. A common approach used throughout computer vision for extracting shape information from a data set is to fit a feature model using the Least Squares method. The well known sensitivity of this method to outliers is traditionally accommodated by outlier rej...

Robust Estimation for Motion Parameters

The performance of least squares method ca'n be improved by changing the error metric so that points which lie far from the bulk of data do not influence the final value—that is to reject the outliers. In this paper, the combination of two robust estimators are used to obtain motion parameters of a camera from matched image features. Results obtained show that the robust estimator has the abili...

Recursive Robust Estimation of Dynamic Systems Parameters

In the previolls pa.per (Pupeikis, 1990) the problem of model order determination in the presence of outliers in observations has been considered. The aim of t.he given paper is the development of the recursive algorithms of comput.ation of l\1estimates ensuring their stability conditions. In this conneciion the approa.ch, based on adaptive Huber's monot.one psi-function. is worked out. It. is ...

Robust estimation of hydrogeologic model parameters

Inverse modeling has become a standard technique for estimating hydrogeologic parameters. These parameters are usually inferred by minimizing the sum of the squared differences between the observed system state and the one calculated by a mathematical model. The robustness of the least squares criterion, however, has to be questioned because of the tendency of outliers in the measurements to st...