We consider localized instantaneous sources that reside in a 2D diffusive environment. Our goal is to reconstruct the induced field from the measurements obtained by distributed s...
This paper develops an analytic model for self shadowing and local illumination of rough surfaces. The surface is assumed homogeneous, isotropic, and smooth microscopically, with ...
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
Jesse Butterfield, Odest Chadwicke Jenkins, Brian ...
A motion field generation algorithm using block matching of edge-flag histograms has been developed aiming at its application to motion recognition systems. Use of edge flags inste...
In this paper, a Bayesian method for face recognition is proposed based on Markov Random Fields (MRF) modeling. Constraints on image features as well as contextual relationships be...