Abstract. In many vision problems, the observed data lies in a nonlinear manifold in a high-dimensional space. This paper presents a generic modelling scheme to characterize the no...
Ying Zhu, Dorin Comaniciu, Stuart C. Schwartz, Vis...
The purpose of this work is the creation of a description of objects in the peripersonal space of a subject that includes two kinds of concepts, related to on-line, action-related ...
This paper investigates the semantic analysis of broadcast tennis footage. We consider the spatio-temporal behaviour of an object in the footage as being the embodiment of a seman...
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
This paper deals with the problem of analyzing and visualizing volume data sets of large size. To this aim, we define a three-dimensional multi-resolution model based on unstruct...