Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
In this paper we continue the combinatorial study of models of particles jumping on a row of cells which we initiated with the standard totally asymmetric exclusion process or TASE...
Many computation-intensive or recursive applications commonly found in digital signal processing and image processing applications can be represented by data-flow graphs (DFGs). ...
Standard 3D imaging systems process only a single return at each pixel from an assumed single opaque surface. However, there are situations when the laser return consists of multip...
Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J...
Abstract: This paper presents a theoretical basis for terminological reasoning about objects and their qualitative spatial relationships. In contrast to existing work, which mainly...