A critical function in both machine vision and biological vision systems is attentional selection of scene regions worthy of further analysis by higher-level processes such as obj...
We consider clustering situations in which the pairwise affinity between data points depends on a latent ”context” variable. For example, when clustering features arising fro...
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
This paper presents a set of Augmented Reality (AR) based interaction techniques for spatial analysis of medical datasets. Computer-aided medical planning tools such as our Virtua...
Bernhard Reitinger, Pascal Werlberger, Alexander B...
This research reports on exploring analytical methodologies for spatio-temporal data of pedestrian egress dynamics in a crowded environment. The research objective is to spatially...