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In the present paper, we review and complete the equations and the formalism which allow to achieve a minimal parameterization of the retinal displacement for a monocular visual system without calibration. Considering the emergence of active visual systems for which we can not consider that the calibration parameters are either known or xed, we develop an(More)
Workflows offer a powerful way to describe and deploy applications on grid infrastructures. Many work-flow management systems have been proposed but there is still a lack of a system that would allow both a simple description of the dataflow of the application and an efficient execution on a grid platform. In this paper, we study the requirements of such a(More)
In this paper, we describe a Service-Oriented Architecture allowing the optimization of the execution of service workflows. We discuss the advantages of the service-oriented approach with regards to the enactment of scientific applications on a grid infrastructure. Based on the development of a generic Web-Services wrapper, we show how the flexibility of(More)
Workflows offer a powerful way to describe and deploy applications on grid infrastructures. Many work-flow management systems have been proposed but there is still a lack of a system that would allow both a simple description of the dataflow of the application and an efficient execution on a grid platform. In this paper, we study the requirements of such a(More)
The medical community is producing and manipulating a tremendous volume of digital data for which computerized archiving, processing and analysis is needed. Grid infrastructures are promising for dealing with challenges arising in computerized medicine but the manipulation of medical data on such infrastructures faces both the problem of interconnecting(More)
This paper targets with applications running on mobile devices. We aim at developing a formalism and a framework to simplify the development of applications taking into account the context in which they are running.Following previous studies from other authors, we extend the notion of context area using distance function with cost function on context space(More)
The NeuroLOG project designs an ambitious neurosciences middleware, gaining from many existing components and learning from past project experiences. It is targeting a focused application area and adopting a user-centric perspective to meet the neuroscientists expectations. It aims at fostering the adoption of HealthGrids in a pre-clinical community. This(More)
Grid technologies are appealing to deal with the challenges raised by computational neurosciences and support multi-centric brain studies. However, core grids middleware hardly cope with the complex neuroimaging data representation and multi-layer data federation needs. Moreover, legacy neuroscience environments need to be preserved and cannot be simply(More)
Workflow engines are powerful tools to implement data-intensive scientific applications exploiting parallel grid resources transparently. We discuss the advantages of implementing applications as workflows of services when dealing with large data sets. We show how the graph of services associated with data composition operators enable the description of(More)
We revisit the problem of parameter estimation in computer vision, reconsidering and implementing what may be called the Kanatani's estimation method, presented here as a simple optimisation problem, so (a) without any direct reference to a probabilistic framework but (b) considering (i) non-linear implicit measurement equations and parameter constraints,(More)