Faced with ever-increasing size of the output from simulations or digitalization of reality, and the also increasing level of detail of the models used in applications, researchers are focusing on techniques that help the user grasp this vast complexity as easily and as naturally as possible. To this end, this project addresses the problem of finding new mechanisms for the presentation, manipulation and interaction with huge data-sets, that maximize --- through appropriate graphical renditions--- their ease of comprehension, and that do that in an efficient way, both in terms of computing effort and of resources needed. The success of the resulting applications will depend, aside from the effectiveness of the visual analysis, on the ease with which the users can interact with the data and control the workflow. Therefore, the project also deals with the development of new interaction techniques. We will advance interaction techniques based on capturing user movements and gestures (which is especially indicated in virtual reality applications, where other interaction techniques usually interfere with the immersion). The project also will explore the capabilities of new interaction devices, and find ways to exploit them in this context. Finally, the project also undertakes problems related to the construction of detailed models from massive data sources ---resulting from digitalizations or simulations or a combination of both--- and problems related to the simulations one often needs to conduct on top of such models (energetic, mechanical, deformations,...). The latter are often burdened with excessive complexity due to the size of the data. We will provide mechanisms to simplify or adapt the models to perform computations on them. We will also deal with the development of simulation algorithms that scale properly when faced with the increased complexity. We will tackle all these problems in the context of concrete application areas, to allow both a better focus and the practical verification of results. The applications areas chosen are the modelling of urban and rural areas, including the crowds inhabiting them, medical imaging, and drug design (interactions of molecules with complex proteins).
Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016
Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia
Subprograma Estatal de Generación de Conocimiento
Excelencia: Proyectos I+D
Gobierno De España. Ministerio De Economía Y Competitividad, Mineco