812 resultados para Bonet, Carmelo


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[ES] En este trabajo se estudian los beneficios económicos de los espacios naturales de la zona de cumbre de Gran Canaria. La población de la isla valora el paisaje en más de 2.280 millones de pesetas anuales.

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[ES] El turismo es una actividad económica que utliza intensivamente recursos naturales. La relación del turismo con estos recursos es dual, ya que el propio devenir de la industria puede conducir a un deterioro de los mismos. En esta dinámica de la interacción del turismo y el medio ambiente, el fenómeno del cambio climático consitutye un reto para el futuro del turismo, debido a que puede afectar a los recursos naturales sobre los que se ha sustentado su desarrollo tradicional en la mayoría de los destinos, produciéndose por tanto una degradación de los atractivos turísticos que darán lugar a nuevos patrones tanto geográficos como estacionales en los turistas. Estos cambios en los flujos se producen como resultado de una modificación en la función de bienestar y satisfacción, producido como consecuencia de la transformación del hábitat donde se desempeña la experiencia vacacional. Esta modificación en las referencias de los turistas, pueden suponer pérdidas económicas. Por lo tanto, es necesario implementar políticas que disminuyan los impactos del cambio climático. El problema es la limitación de los recursos económicos, así como su distribución. Por eso hay que desarrollar políticas que permitan la obtención de un mayor número de recursos económicos. Para erllo es necesario el estudio de las preferencias de los turistas. Debido a que la oposición de los individuos a un pago para llevar a cabo políticas de lucha contra el cambio climático puede modificarse con un determinado diseño de éstas.

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[ES] La implantación en Canarias de la tecnología de radio TETRA trae como consecuencia la necesidad de una plataforma de alto nivel para operar con la red y los terminales asociados. Debido a esta necesidad se plantea el desarrollo y la implementación de una capa de acceso al hardware y la red que sea lo suficientemente escalable para así desarrollar sobre ésta un repertorio de utilidades que haga más eficiente la gestión de toda esta nueva infraestructura de comunicación. Este proyecto final de carrera se encarga de fijar las bases de esa comunicación con la red TETRA a través de sus dispositivos haciendo uso, para ello, del protocolo de comunicacion mediante comandos AT que proporciona el estándar definido por ETSI para TETRA. Como resultado del análisis y diseño del problema, se genera una librería dinámica capaz de interaccionar con los terminales y proporcionar una interfaz sencilla y común para poder generar soluciones de más alto nivel que hagan uso de la red TETRA pero sin tener en ningún momento la necesidad de conocer las peculiaridades de la capa de comunicación física de tetra. Para dar un ejemplo de las capacidades de la librería generada anteriormente, se genera a modo de ejemplo una aplicación que hace uso de la librería y que representa un prototipo de herramienta de retransmisión de mensajes entre terminales TETRA y buzones de correo, destinada a su uso en el departamento de seguridad de la ULPGC.

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[EN] In this paper we present a variational technique for the reconstruction of 3D cylindrical surfaces. Roughly speaking by a cylindrical surface we mean a surface that can be parameterized using the projection on a cylinder in terms of two coordinates, representing the displacement and angle in a cylindrical coordinate system respectively. The starting point for our method is a set of different views of a cylindrical surface, as well as a precomputed disparity map estimation between pair of images. The proposed variational technique is based on an energy minimization where we balance on the one hand the regularity of the cylindrical function given by the distance of the surface points to cylinder axis, and on the other hand, the distance between the projection of the surface points on the images and the expected location following the precomputed disparity map estimation between pair of images. One interesting advantage of this approach is that we regularize the 3D surface by means of a bi-dimensio al minimization problem. We show some experimental results for large stereo sequences.

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[EN] In this paper, we present a vascular tree model made with synthetic materials and which allows us to obtain images to make a 3D reconstruction.We have used PVC tubes of several diameters and lengths that will let us evaluate the accuracy of our 3D reconstruction. In order to calibrate the camera we have used a corner detector. Also we have used Optical Flow techniques to follow the points through the images going and going back. We describe two general techniques to extract a sequence of corresponding points from multiple views of an object. The resulting sequence of points will be used later to reconstruct a set of 3D points representing the object surfaces on the scene. We have made the 3D reconstruction choosing by chance a couple of images and we have calculated the projection error. After several repetitions, we have found the best 3D location for the point.

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[EN] In this paper we present a method for the regularization of 3D cylindrical surfaces. By a cylindrical surface we mean a 3D surface that can be expressed as an application S(l; µ) ! R3 , where (l; µ) represents a cylindrical parametrization of the 3D surface. We built an initial cylindrical parametrization of the surface. We propose a new method to regularize such cylindrical surface. This method takes into account the information supplied by the disparity maps computed between pair of images to constraint the regularization of the set of 3D points. We propose a model based on an energy which is composed of two terms: an attachment term that minimizes the difference between the image coordinates and the disparity maps and a second term that enables a regularization by means of anisotropic diffusion. One interesting advantage of this approach is that we regularize the 3D surface by using a bi-dimensional minimization problem.

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[EN] In this paper, we present a vascular tree model made with synthetic materials and which allows us to obtain images to make a 3D reconstruction. In order to create this model, we have used PVC tubes of several diameters and lengths that will let us evaluate the accuracy of our 3D reconstruction. We have made the 3D reconstruction from a series of images that we have from our model and after we have calibrated the camera. In order to calibrate it we have used a corner detector. Also we have used Optical Flow techniques to follow the points through the images going and going back. Once we have the set of images where we have located a point, we have made the 3D reconstruction choosing by chance a couple of images and we have calculated the projection error. After several repetitions, we have found the best 3D location for the point.

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[EN] In the last years we have developed some methods for 3D reconstruction. First we began with the problem of reconstructing a 3D scene from a stereoscopic pair of images. We developed some methods based on energy functionals which produce dense disparity maps by preserving discontinuities from image boundaries. Then we passed to the problem of reconstructing a 3D scene from multiple views (more than 2). The method for multiple view reconstruction relies on the method for stereoscopic reconstruction. For every pair of consecutive images we estimate a disparity map and then we apply a robust method that searches for good correspondences through the sequence of images. Recently we have proposed several methods for 3D surface regularization. This is a postprocessing step necessary for smoothing the final surface, which could be afected by noise or mismatch correspondences. These regularization methods are interesting because they use the information from the reconstructing process and not only from the 3D surface. We have tackled all these problems from an energy minimization approach. We investigate the associated Euler-Lagrange equation of the energy functional, and we approach the solution of the underlying partial differential equation (PDE) using a gradient descent method.

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[EN] In this paper we present a method for the regularization of a set of unstructured 3D points obtained from a sequence of stereo images. This method takes into account the information supplied by the disparity maps computed between pairs of images to constraint the regularization of the set of 3D points. We propose a model based on an energy which is composed of two terms: an attachment term that minimizes the distance from 3D points to the projective lines of camera points, and a second term that allows for the regularization of the set of 3D points by preserving discontinuities presented on the disparity maps. We embed this energy in a 2D finite element method. After minimizing, this method results in a large system of equations that can be optimized for fast computations. We derive an efficient implicit numerical scheme which reduces the number of calculations and memory allocations.