7 resultados para Automatic Editing
em Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España
Resumo:
[EN] This paper describes VPL, a Virtual Programming Lab module for Moodle, developed at the University of Las Palmas of Gran Canaria (ULPGC) and released for free uses under GNU/GPL license. For the students, it is a simple development environment with auto evaluation capabilities. For the instructors, it is a students' work management system, with features to facilitate the preparation of assignments, manage the submissions, check for plagiarism, and do assessments with the aid of powerful and flexible assessment tools based on program testing, all of that being independent of the programming language used for the assignments and taken into account critical security issues.
Resumo:
[ES] Este Trabajo de Fin de Grado ha tenido como objetivo el desarrollo de un gestor de menús de restaurantes como aplicación web para una empresa que ofrece hostings de menús y publicidad mediante la publicación de dichos menús en pantallas y portales web. Las empresas asociadas (bares y restaurantes) podrán elaborar menús compuestos de dos platos (primero y segundo), postre y bebidas para ser ‘enviados’ al servicio de publicación. La aplicación proporciona un sistema de gestión de dichos menús facilitando la reutilización de platos entre menús, la personalización de la imagen representativa de cada plato, así como diversas operaciones de copia, visualización y modificación de los menús y de los platos. Los usuarios registrados tendrán la posibilidad de recuperar su contraseña de forma automática en caso de que la misma sea olvidada. La información relacionada con los platos, menús y usuarios registrados será almacenada automáticamente sobre una base de datos diseñada al efecto. Por otro lado, la aplicación web dispone de una página accesible únicamente para el administrador para la gestión de los usuarios, por ejemplo, editar, alta, baja, habilitar y deshabilitar cuentas de usuarios. Por último, las tecnologías y herramientas utilizadas en la elaboración de este trabajo incluyen Php, Mysql, jQuery, CSS, HTML y sobre todo el framework Twitter Bootstrap que ha sido de gran ayuda en el desarrollo del proyecto.
Resumo:
Máster Universitario en Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería (SIANI)
Resumo:
[EN]During the last decade, researchers have verified that clothing can provide information for gender recognition. However, before extracting features, it is necessary to segment the clothing region. We introduce a new clothes segmentation method based on the application of the GrabCut technique over a trixel mesh, obtaining very promising results for a close to real time system. Finally, the clothing features are combined with facial and head context information to outperform previous results in gender recognition with a public database.
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[EN]This paper focuses on four different initialization methods for determining the initial shape for the AAM algorithm and their particular performance in two different classification tasks with respect to either the facial expression DaFEx database and to the real world data obtained from a robot’s point of view.
Resumo:
[EN]In this paper we review the novel meccano method. We summarize the main stages (subdivision, mapping, optimization) of this automatic tetrahedral mesh generation technique and we concentrate the study to complex genus-zero solids. In this case, our procedure only requires a surface triangulation of the solid. A crucial consequence of our method is the volume parametrization of the solid to a cube. We construct volume T-meshes for isogeometric analysis by using this result. The efficiency of the proposed technique is shown with several examples. A comparison between the meccano method and standard mesh generation techniques is introduced.-1…
Resumo:
[EN]Different researches suggest that inner facial features are not the only discriminative features for tasks such as person identification or gender classification. Indeed, they have shown an influence of features which are part of the local face context, such as hair, on these tasks. However, object-centered approaches which ignore local context dominate the research in computational vision based facial analysis. In this paper, we performed an analysis to study which areas and which resolutions are diagnostic for the gender classification problem. We first demonstrate the importance of contextual features in human observers for gender classification using a psychophysical ”bubbles” technique.