The information conveyed by optical flow is analytically linked to the observer motion in this paper by decomposing the optical flow field into its vector field components. It is ...
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
We investigate passive radar imaging of aircraft using reflected TV signals. We apply a Smoothed Pseudo WignerVille Distribution (SPWVD)-based SAR imaging algorithm to two differe...
Profiles of a sculpture provide rich information about its geometry, and can be used for model reconstruction under known camera motion. By exploiting correspondences induced by e...
This paper introduces a new generalisation of scale-space and pyramids, which combines statistical modelling with a spatial representation. The representation uses the familiar co...