Multichannel Robust Parameters Estimation for Disabled Satellites

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...

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...

Simultaneous multichannel image restoration and estimation of the regularization parameters

In this correspondence, a constrained least-squares multichannel image restoration approach is proposed, in which no prior knowledge of the noise variance at each channel or the degree of smoothness of the original image is required. The regularization functional for each channel is determined by incorporating both within-channel and cross-channel information. It is shown that the proposed smoo...

Robust Multichannel Acoustic Time Delay Estimation in Reverberant Environments

Time delay estimation is a basic building block of an acoustic source localization system. Such a system must cope with adverse acoustic conditions to be generally applicable, i.e. high reverberation times and low signal-to-noise ratios. In general, better results can be achieved if multiple channels are considered. We propose an extension of a mutual information based delay estimator to the mu...