Abstract
In this paper, two Persistent Scatterer Interferometry (PSI) methodologies are compared in order to further understand their potential in the detection of surface deformation. A comparison of these two algorithms is a comparison of the two classes of PSI techniques available: coherence estimation based on a temporal model of deformation (represented by DePSI) and coherence estimation based on spatial correlation (represented by StaMPS). Despite the similarity between the results obtained from the application of the two independent PSI methodologies, significant differences in PS density and distribution were detected, motivating a comparative study between both techniques. We analyze which approach might be more appropriate for studying specific areas/environments, which is helpful in evaluating the benefits that could be derived from an integration of the two methodologies. Several experiments are performed to assess the sensitivity of both PSI approaches to different parameter settings and circumstances. The most significant differences in the processing chain of both procedures are then investigated. We apply both methodologies to the Granada Basin area (southern Spain) and realize that coherence does not improve significantly as function of the methodology applied. If oversampling is implemented in the StaMPS processing chain, the PS density increases so that the density in the urbanized areas is similar to the results provided by DePSI but in all the remaining covers the density is significantly higher. The general results provided by both approaches are very similar in the relative deformations estimated.

Abstract
The current paper proposes a new parametric local color correction technique. Initially, several color transfer functions are computed from the output of the mean shift color segmentation algorithm. Secondly, color influence maps are calculated. Finally, the contribution of every color transfer function is merged using the weights from the color influence maps. The proposed approach is compared with both global and local color correction approaches. Results show that our method outperforms the technique ranked first in a recent performance evaluation on this topic. Moreover, the proposed approach is computed in about one tenth of the time.

Abstract

Abstract

Abstract
In this paper, which deals with an work in progress, we present the results of a prototype that aims to enable blind people to autonomously acquire consumer goods in hypermarkets. The prototype implements an architecture that combines inertial, magnetic and multilateration techniques, supported by 802.11 networks and mobile devices. We present the preliminary results of positioning and orientation obtained in tests carried out in a hypermarket, and we discuss the main constraints observed as well as the challenges for future work. © 2011 AISTI.

Abstract
Organizations have in-built social responsibility to society. The evolution of technology have enable organizations to interact in an innovatively and more close approach to their clients. But this evolution has not included people with special needs like blind people. And, even those organizations that have enable some kind of support-approach to blind people, have typically disjointed, incomplete and typically parallel approaches; compared to their mass-client standard approach. This paper discusses the potential of Pervasive and Mobile Computing to support, not just an innovative and unified approach, but also a real possibility of promoting real inclusion of blind people in what concerns to the delivery of information and services organizations offer. This paper also represents a reflection and a mind shaking attempt, while the authors are working in allowing blind people an autonomous buying process, in hypermarkets, supported by the use of wireless networks and modern mobile devices, with multiple technologies support, like Wi-Fi and inertial and magnetic sensors.