In this work we develop appearance models for computing the similarity between image regions containing deformable objects of a given class in realtime. We introduce the concept o...
Gianfranco Doretto, Jens Rittscher, Peter H. Tu, T...
Background modeling and subtraction is a core component in motion analysis. The central idea behind such module is to create a probabilistic representation of the static scene tha...
Antoine Monnet, Anurag Mittal, Nikos Paragios, Vis...
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Accurate knowledge of an imaging system's point spread function (PSF) is crucial for successful deconvolution. For fluorescence microscopy, PSF estimations based on either th...
MacKenzie and Soukoreff have previously introduced a Fitts' Law?based performance model of expert two?thumb text entry on mini?QWERTY keyboards [4]. In this work we validate ...
Edward Clarkson, Kent Lyons, James Clawson, Thad S...