Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...
In this paper, a generic rule induction framework based on trajectory series analysis is proposed to learn the event rules. First the trajectories acquired by a tracking system ar...
In this paper we present a novel image-based 3D surface reconstruction technique that incorporates both reflectance and polarisation features into a variational framework. Our tec...
Component interoperability is the ability of two or more components to cooperate despite their differences in functional and non-functional aspects such as security or performanc...
Sam Supakkul, Ebenezer A. Oladimeji, Lawrence Chun...
Abstract. We present a new parsing framework for the line-based geometric analysis of a single image coming from a man-made environment. This parsing framework models the scene as ...