Geometric Aspects of Visual Object Recognition

This thesis presents there important results in visual object recognition based on shape. (1) A new algorithm (RAST; Recognition by Adaptive Sudivisions of Tranformation space) is presented that has lower average-case complexity than any known recognition algorithm. (2) It is shown, both theoretically and empirically, that representing 3D objects as collections of 2D views (the "View-Based Approximation") is feasible and affects the reliability of 3D recognition systems no more than other commonly made approximations. (3) The problem of recognition in cluttered scenes is considered from a Bayesian perspective; the commonly-used "bounded-error errorsmeasure" is demonstrated to correspond to an independence assumption. It is shown that by modeling the statistical properties of real-scenes better, objects can be recognized more reliably.

Learning Three-Dimensional Shape Models for Sketch Recognition

Artifacts made by humans, such as items of furniture and houses, exhibit an enormous amount of variability in shape. In this paper, we concentrate on models of the shapes of objects that are made up of fixed collections of sub-parts whose dimensions and spatial arrangement exhibit variation. Our goals are: to learn these models from data and to use them for recognition. Our emphasis is on learning and recognition from three-dimensional data, to test the basic shape-modeling methodology. In this paper we also demonstrate how to use models learned in three dimensions for recognition of two-dimensional sketches of objects.

Comunicación, Imagen y Publicidad : recursos multimedia para la educación audiovisual.

Resumen basado en la publicación

Comunicación, Imagen y Publicidad : recursos multimedia para la educación audiovisual.

Resumen basado en la publicación

Comunicación, Imagen y Publicidad : recursos multimedia para la educación audiovisual.

Resumen basado en la publicación

Pizarras, pantallas, ventanas, imágenes : alfabetización audiovisual y crecimiento personal.

Se exponen diferentes programas educativos del Departamento de Educación del Gobierno de Aragón dedicados al cine. Están destinados a alumnos de diferentes edades y tienen como objetivo potenciar la cultura cinematográfica así como servir de medio para el aprendizaje de otras materias curriculares. Entre los programas ofertados están: zoom 1215, linterna mágica, aula de cine, cine y salud; y un día de cine. Las actividades que se realizan son: visionado de películas, cortos, documentales, actividades complementarias, cursos, concursos y festivales.

La comunicación audiovisual y el desarrollo de las competencias básicas.

Seleccionado en la convocatoria: Ayudas a la innovación e investigación educativa en centros docentes de niveles no universitarios, Gobierno de Aragón 2009-10

ROC parameters in item and context recognition. 'Par??metros ROC en el reconocimiento de items y contextos'

Resumen tomado de la publicaci??n. Resumen tambi??n en ingl??s

Use of decision trees in colour feature selection: application to object recognition in outdoor scenes

A new method for the automated selection of colour features is described. The algorithm consists of two stages of processing. In the first, a complete set of colour features is calculated for every object of interest in an image. In the second stage, each object is mapped into several n-dimensional feature spaces in order to select the feature set with the smallest variables able to discriminate the remaining objects. The evaluation of the discrimination power for each concrete subset of features is performed by means of decision trees composed of linear discrimination functions. This method can provide valuable help in outdoor scene analysis where no colour space has been demonstrated as being the most suitable. Experiment results recognizing objects in outdoor scenes are reported

Model-based objects recognition in industrial environments for autonomous vehicles control

Behavior-based navigation of autonomous vehicles requires the recognition of the navigable areas and the potential obstacles. In this paper we describe a model-based objects recognition system which is part of an image interpretation system intended to assist the navigation of autonomous vehicles that operate in industrial environments. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using a rule-based cooperative expert system

Model-based objects recognition in man-made environments

We describe a model-based objects recognition system which is part of an image interpretation system intended to assist autonomous vehicles navigation. The system is intended to operate in man-made environments. Behavior-based navigation of autonomous vehicles involves the recognition of navigable areas and the potential obstacles. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using CEES, the C++ embedded expert system shell developed in the Systems Engineering and Automatic Control Laboratory (University of Girona) as a specific rule-based problem solving tool. It has been especially conceived for supporting cooperative expert systems, and uses the object oriented programming paradigm

A new approach to real time traffic sign recognition based on colour information

The automatic interpretation of conventional traffic signs is very complex and time consuming. The paper concerns an automatic warning system for driving assistance. It does not interpret the standard traffic signs on the roadside; the proposal is to incorporate into the existing signs another type of traffic sign whose information will be more easily interpreted by a processor. The type of information to be added is profuse and therefore the most important object is the robustness of the system. The basic proposal of this new philosophy is that the co-pilot system for automatic warning and driving assistance can interpret with greater ease the information contained in the new sign, whilst the human driver only has to interpret the "classic" sign. One of the codings that has been tested with good results and which seems to us easy to implement is that which has a rectangular shape and 4 vertical bars of different colours. The size of these signs is equivalent to the size of the conventional signs (approximately 0.4 m2). The colour information from the sign can be easily interpreted by the proposed processor and the interpretation is much easier and quicker than the information shown by the pictographs of the classic signs

Una Nova estació de treball per a l'autoaprenentatge de la traducció audiovisual en l’EEES

En aquest article presentem, en primer lloc, una panoràmica general de l’oferta de formació en traducció audiovisual a la universitat (apartat 2) per tal de fer evident la importància creixent d’aquests estudis i per contextualitzar l’entorn on es genera la necessitat d’una eina com la que presentem. A continuació, exposem de manera global l’objectiu del projecte com també les fases previstes (apartat 3), per detallar a continuació la feina feta fins ara (apartat 4) i les fases pendents de desenvolupar (apartat 5). Les conclusions i possibles perspectives de futur clouen aquest article (apartat 6). En resum, esperem presentar una eina innovadora encara en construcció que afavorirà l’aprenentatge autònom de la traducció audiovisual, en sintonia amb la filosofia docent del nou EEES

El Cuaderno audiovisual como recurso didáctico para el autoaprendizaje: evaluación del proceso comunicativo

El objetivo especifico de este trabajo ha sido evaluar las prioridades que los estudiantes establecen en el proceso comunicativo del contenido docente de un cuaderno audiovisual a elaborar por ellos mismos a la hora de establecer la futura transmision hacia el aula del producto audiovisual. No ha de olvidarse que, por su naturaleza, el recurso audiovisual tiene un caracter repetitivo susceptible de ser utilizado en distintos momentos del proceso formativo

Descripción de modelos de mediación comunitaria. El campesino del Alto Sumapaz, el modelo relacional simbólico y el jurídico institucional

La descripción de procesos sociales es una de las opciones más significativas para que desde los ejercicios académicos se puedan desarrollar investigaciones. En el presente trabajo el autor desde las herramientas conceptuales, procedimentales, metodológicas y sociojurídicas realizó el análisis de dos modelos de mediación como mecanismos para tratar conflictos comunitarios. Por un lado el Modelo Relacional Simbólico (MRS), de otro el modelo de mediación comunitaria campesina (MMCC) que históricamente ha existido en la Región Rural del Alto Sumapaz. Del anterior análisis se pudo establecer un diálogo que permitió concluir que los dos modelos son procedimientos que han evolucionado en contextos tan diferentes como complejos. Su implementación antes que replicarla es necesario estudiarla más en profundidad desde cada uno de sus contextos, sin la intención fundamental de incidir sobre los mismos y mucho menos sobre los campos específicos en donde coexistes socialmente. La reconstrucción del discurso sumapaceño como eje central de la investigación giró en torno al reconocimiento y exaltación de los elementos y principios fundamentales del modelo de mediación campesina. Esto se pudo construir a partir de entrevistas y desde el diseño cualitativo de un grupo de discusión que dio cuenta del sistema de justicia alternativa existente. Finalmente, el estudio académico durante la Maestría en Mediación Familiar y Comunitaria, permitió hallar diferentes construcciones argumentativas que para la presente investigación lograron aportar elementos críticos en campos como los mecanismos alternativos de transformación de conflictos, la justicia comunitaria, el pluralismo jurídico, la mediación y por supuesto al modelo relacional simbólico (MRS).