Person re-identification through a camera network deals with finding a correct link between consecutive observations of the same target among different cameras in order to choose the most probable correspondence among a set of possible matches. This task is particularly challenging in presence of low-resolution camera networks. In this work, a method for people re-identification in a framework ...

The research presented in this paper introduces the principles of a multi-dimensional contextual approach for adaptive GIS. The framework makes the difference beetween the user, geographical and device contexts. The geographical context is modelled according to the location of the user, the region of interest, the extent of the region covered by the diffusion of the data, and the place where th...

Fiber tracking is a powerful technique to analyze Diffusion Tensor Imaging (DTI) data of the brain. It allows tracing paths through the dataset that relate to the primary pathways of white matter axonal structures. The typical approach to do this is to place a region-of-interest (ROI) inside the dataset, and subsequently visualize all paths running through the ROI. Consequently, the resulting f...

The design of representative models of the human body is of great interest to medical doctors. Qualitative information about the characteristics of the brain is widely available, but due to the volume of information that needs to be analyzed and the complexity of its structure, rarely is there quantiication according to a standard model. To address this problem, we propose in this paper an auto...

In non-parametric image registration it is often not possible to work with the original resolution of the images due to high processing times and lack of memory. However, for some medical applications the information contained in the original resolution is crucial in certain regions of the image while being negligible in others. To adapt to this problem we will present an approach using tensor ...

Detection of objects is in general a computationally demanding task. To simplify the problem it is of interest to focus the attention to a set of regions of interest. Indoor environments often have large homogeneous textured objects, such as walls and furniture. In this paper we present a model which detects large homogeneous regions and uses this information to search for targets that are smal...

a The first neutrino observations from the Sudbury Neutrino Observatory are presented from preliminary analyses. Based on energy, direction and location, the data in the region of interest appear to be dominated by 8 B solar neutrinos, detected by the charged current reaction on deuterium and elastic scattering from electrons, with very little background. Measurements of radioactive backgrounds...

The high inter–subject variability of human neuroanatomy complicates the analysis of functional imaging data across subjects. We propose a method for the correct segmentation of cortical Regions of Interest based on the cortical surface. First results on the segmentation of Heschl’s gyrus indicate the capability of our approach for correct comparison of functional activations in relation to ind...

We present techniques for creating an approximate implicit representation of space curves and of surfaces of revolution. In both cases, the proposed techniques reduce the problem to that of implicitization of planar curves. For space curves, which are described as the intersection of two implicitly defined surfaces, we show how to generate an approximately orthogonalized implicit representation...