Biotech Girona: l'espai de la biotecnologia

Espais a mida, tota mena de facilitats i bona companyia. Sembla l'anunci d'una promoció immobiliària, però això és el que ofereix el Biogech Girona, un lloc dins el Parc Científic i Tecnològic que proposa espais a mida per establir-se en un entorn d'excel·lència en la recerca. El Parc acaba d'obrir la convocatòria per seleccionar les empreses interessades

Arquitectura SIG corporativa apoyada en software libre y estándares

Presentación de SIG corporativos, software libre, estandáres y casos prácticos

gvSIG: informe de estado

gvSIG es un proyecto cuya primera versión salió a la luz a mediados de 2004. En poco tiempo ha alcanzado un cierto éxito, siendo conocido y utilizado en diversos países del mundo. La difusión e implantación de gvSIG ha ido pareja a su evolución como proyecto, pasando de un equipo inicial de tres desarrolladores a múltiples equipos de trabajo repartidos en empresas y universidades. Actualmente existen diversas líneas de trabajo en paralelo que enriquecen gvSIG y permiten confirmar su objetivo de ser una herramienta integradora de los distintos mundos de la información geográfica. Desde los grandes bloques de trabajo como gvSIG 3D, teledetección, vectorial avanzado (topología, redes, simbología avanzada, gráficas e informes), movilidad a las proyectos menores como la extensión de publicaciones o el gestor de metadatos, tenemos un complejo ecosistema de funcionalidades y personas impulsando el futuro de gvSIG. Mediante esta ponencia se pretende dar una visión del estado actual del proyecto y del producto, de las nuevas funcionalidades incorporadas en los últimos meses y de las que están recogidas en el mapa de ruta

Efficient topology estimation for large scale optical mapping

Large scale image mosaicing methods are in great demand among scientists who study different aspects of the seabed, and have been fostered by impressive advances in the capabilities of underwater robots in gathering optical data from the seafloor. Cost and weight constraints mean that lowcost Remotely operated vehicles (ROVs) usually have a very limited number of sensors. When a low-cost robot carries out a seafloor survey using a down-looking camera, it usually follows a predetermined trajectory that provides several non time-consecutive overlapping image pairs. Finding these pairs (a process known as topology estimation) is indispensable to obtaining globally consistent mosaics and accurate trajectory estimates, which are necessary for a global view of the surveyed area, especially when optical sensors are the only data source. This thesis presents a set of consistent methods aimed at creating large area image mosaics from optical data obtained during surveys with low-cost underwater vehicles. First, a global alignment method developed within a Feature-based image mosaicing (FIM) framework, where nonlinear minimisation is substituted by two linear steps, is discussed. Then, a simple four-point mosaic rectifying method is proposed to reduce distortions that might occur due to lens distortions, error accumulation and the difficulties of optical imaging in an underwater medium. The topology estimation problem is addressed by means of an augmented state and extended Kalman filter combined framework, aimed at minimising the total number of matching attempts and simultaneously obtaining the best possible trajectory. Potential image pairs are predicted by taking into account the uncertainty in the trajectory. The contribution of matching an image pair is investigated using information theory principles. Lastly, a different solution to the topology estimation problem is proposed in a bundle adjustment framework. Innovative aspects include the use of fast image similarity criterion combined with a Minimum spanning tree (MST) solution, to obtain a tentative topology. This topology is improved by attempting image matching with the pairs for which there is the most overlap evidence. Unlike previous approaches for large-area mosaicing, our framework is able to deal naturally with cases where time-consecutive images cannot be matched successfully, such as completely unordered sets. Finally, the efficiency of the proposed methods is discussed and a comparison made with other state-of-the-art approaches, using a series of challenging datasets in underwater scenarios

Good-visibility computation using graphics hardware

Aquesta tesi tracta del disseny, implementació i discussió d'algoritmes per resoldre problemes de visibilitat i bona-visibilitat utilitzant el hardware gràfic de l'ordinador. Concretament, s'obté una discretització dels mapes de multi-visibilitat i bona-visibilitat a partir d'un conjunt d'objectes de visió i un conjunt d'obstacles. Aquests algoritmes són útils tant per fer càlculs en dues dimensions com en tres dimensions. Fins i tot ens permeten calcular-los sobre terrenys.

Simplification, approximation and deformation of large models

The high level of realism and interaction in many computer graphic applications requires techniques for processing complex geometric models. First, we present a method that provides an accurate low-resolution approximation from a multi-chart textured model that guarantees geometric fidelity and correct preservation of the appearance attributes. Then, we introduce a mesh structure called Compact Model that approximates dense triangular meshes while preserving sharp features, allowing adaptive reconstructions and supporting textured models. Next, we design a new space deformation technique called *Cages based on a multi-level system of cages that preserves the smoothness of the mesh between neighbouring cages and is extremely versatile, allowing the use of heterogeneous sets of coordinates and different levels of deformation. Finally, we propose a hybrid method that allows to apply any deformation technique on large models obtaining high quality results with a reduced memory footprint and a high performance.