15 resultados para Audio-visual Speech Recognition, Visual Feature Extraction, Free-parts, Monolithic, ROI

em Universitat de Girona, Spain


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Aquest llibre és el producte d'anys de cooperació entre equips de recerca de cinc països diferents, tot ells Key Institutions de la xarxa Childwatch International, en el marc d'un projecte plurinacional sobre adolescents i mitjans

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Changes in the angle of illumination incident upon a 3D surface texture can significantly alter its appearance, implying variations in the image texture. These texture variations produce displacements of class members in the feature space, increasing the failure rates of texture classifiers. To avoid this problem, a model-based texture recognition system which classifies textures seen from different distances and under different illumination directions is presented in this paper. The system works on the basis of a surface model obtained by means of 4-source colour photometric stereo, used to generate 2D image textures under different illumination directions. The recognition system combines coocurrence matrices for feature extraction with a Nearest Neighbour classifier. Moreover, the recognition allows one to guess the approximate direction of the illumination used to capture the test image

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Una preocupación por el valor formativo de las imágenes que nos circundan y la laguna al respecto que muestra la educación formal española nos puso en marcha para realizar una investigación doctoral. Así que nos propusimos: 1. Estudiar la relación entre dos ámbitos que se ocupan del estudio y la producción de imágenes: la Educación Artística y la Educación Mediática. Mediante un análisis pormenorizado de las investigaciones y experiencias más relevantes que nos permitieron evidenciar el papel que los medios juegan en la Educación Artística y el que las artes juegan en la Educación Mediática. Indagar en el modo en el que la Educación Artística (en adelante E.A.) pudiera incidir en la Mediática (en adelante E.M.) mediante una prueba experimental, en un entorno educativo eal, con el fin de desarrollar la comprensión crítica de los estudiantes

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Partimos del hecho que una forma de percibir la realidad que nos rodea, es por medio de las imágenes que capta nuestro cerebro, éste es un proceso totalmente individual y subjetivo, que su resultado solo puede ser manifiesto por medio de la expresión oral, gráfica o mímica, que para describir cabalmente lo que captamos o lo que queremos expresar, lo tenemos que nombrar y lo nombramos precisamente con la palabra. Por otra parte no podemos nombrar, de manera concreta, algo de lo cual no tenemos noción, idea, imagen o concepto. De ahí la importancia de la imagen en el proceso de construcción del conocimiento

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Estudi sobre el tractament de la propietat intel•lectual i els drets d’autor en el sector turístic hotelera, amb l’objectiu d’esbrinar com funciona aquesta gestió. S’incideix més en l´’us de les televisions en les habitacions d’hotel, i en quins criteris utilitzen les entitats de gestió per exigir aquest dret. Es proposen alternatives als establiments hotelers a partir dels criteris dels tribunals

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The results presented in this paper are from a research using a questionnaire about activities and evaluations of boys and girls in relation to different audio-visual media (television, computer, videoconsole, educative CD-Roms, Internet and computer and console games). Results show us that children information about any audio-visual media is systematically overestimated by parents. Generally, the media with more negative concordances is video-games, the one with more positive concordances is the computer and the one with more discrepancies between generations is TV

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En el presente artículo se exponen los resultados de una investigación realizada con una muestra de adolescentes (N = 1211) entre 12 y 16 años y otra de sus progenitores (N = 462) para explorar cómo las diferentes respuestas generacionales ante la presencia de diversos medios audiovisuales en su entorno próximo afectan las interacciones familiares entre progenitores e hijos/as. Los resultados apuntan al hecho que los progenitores tienden a sobredimensionar tanto el interés como las informaciones de que dispone su propio hijo o hija acerca de la mayor parte de los medios audiovisuales explorados, así como la satisfacción que proporcionan las conversaciones con los adultos acerca de cualquier actividad con estos medios. Los progenitores realizan atribuciones diferentes sobre el uso de medios audiovisuales según se refieran a un hijo o a una hija. Se aprecia una importante diferencia entre la satisfacción con las conversaciones que los y las adolescentes mantienen con sus iguales y la que proporcionan las conversaciones con los adultos respecto a cualquiera de sus actividades con los medios

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Este articulo trata de exponer la utilización del archivo audiovisual del grupo de investigación IDECA como herramienta docente y como la utilización de un archivo digital de estas características se articula como una vía practica para mejorar la adquisición de competencias en determinadas áreas del conocimiento por parte del alumnado universitario. El empleo del archivo IDECA como herramienta docente, se articula como un medio excelente para la mejora de los conocimientos del alumno por medio de la gestión autónoma del aprendizaje por parte del alumno o del aprendizaje tutorizado por el profesorado

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Ressenya de l' Audiovisual del 'Seminario Internacional Cultura y Desarrollo', dirigit per Alfons Martinell i Gemma Carbó i realitzat per Lluís Masachs

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Obtaining automatic 3D profile of objects is one of the most important issues in computer vision. With this information, a large number of applications become feasible: from visual inspection of industrial parts to 3D reconstruction of the environment for mobile robots. In order to achieve 3D data, range finders can be used. Coded structured light approach is one of the most widely used techniques to retrieve 3D information of an unknown surface. An overview of the existing techniques as well as a new classification of patterns for structured light sensors is presented. This kind of systems belong to the group of active triangulation method, which are based on projecting a light pattern and imaging the illuminated scene from one or more points of view. Since the patterns are coded, correspondences between points of the image(s) and points of the projected pattern can be easily found. Once correspondences are found, a classical triangulation strategy between camera(s) and projector device leads to the reconstruction of the surface. Advantages and constraints of the different patterns are discussed

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This paper describes a navigation system for autonomous underwater vehicles (AUVs) in partially structured environments, such as dams, harbors, marinas or marine platforms. A mechanical scanning imaging sonar is used to obtain information about the location of planar structures present in such environments. A modified version of the Hough transform has been developed to extract line features, together with their uncertainty, from the continuous sonar dataflow. The information obtained is incorporated into a feature-based SLAM algorithm running an Extended Kalman Filter (EKF). Simultaneously, the AUV's position estimate is provided to the feature extraction algorithm to correct the distortions that the vehicle motion produces in the acoustic images. Experiments carried out in a marina located in the Costa Brava (Spain) with the Ictineu AUV show the viability of the proposed approach

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Simultaneous Localization and Mapping (SLAM) do not result in consistent maps of large areas because of gradual increase of the uncertainty for long term missions. In addition, as the size of the map grows the computational cost increases, making SLAM solutions unsuitable for on-line applications. This thesis surveys SLAM approaches paying special attention to those approaches aimed to work on large scenarios. Special focus is given to existing underwater SLAM applications. A technique based on using independent local maps together with a global stochastic map is presented. This technique is called Selective Submap Joining SLAM (SSJS). A global map contains relative transformations between local maps, which are updated once a new loop is detected. Maps sharing several features are fused, maintaining the correlation between landmarks and vehicle's pose. The use of local maps reduces computational costs and improves map consistency as compared to state of the art techniques.

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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

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Positioning a robot with respect to objects by using data provided by a camera is a well known technique called visual servoing. In order to perform a task, the object must exhibit visual features which can be extracted from different points of view. Then, visual servoing is object-dependent as it depends on the object appearance. Therefore, performing the positioning task is not possible in presence of nontextured objets or objets for which extracting visual features is too complex or too costly. This paper proposes a solution to tackle this limitation inherent to the current visual servoing techniques. Our proposal is based on the coded structured light approach as a reliable and fast way to solve the correspondence problem. In this case, a coded light pattern is projected providing robust visual features independently of the object appearance

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This thesis proposes a solution to the problem of estimating the motion of an Unmanned Underwater Vehicle (UUV). Our approach is based on the integration of the incremental measurements which are provided by a vision system. When the vehicle is close to the underwater terrain, it constructs a visual map (so called "mosaic") of the area where the mission takes place while, at the same time, it localizes itself on this map, following the Concurrent Mapping and Localization strategy. The proposed methodology to achieve this goal is based on a feature-based mosaicking algorithm. A down-looking camera is attached to the underwater vehicle. As the vehicle moves, a sequence of images of the sea-floor is acquired by the camera. For every image of the sequence, a set of characteristic features is detected by means of a corner detector. Then, their correspondences are found in the next image of the sequence. Solving the correspondence problem in an accurate and reliable way is a difficult task in computer vision. We consider different alternatives to solve this problem by introducing a detailed analysis of the textural characteristics of the image. This is done in two phases: first comparing different texture operators individually, and next selecting those that best characterize the point/matching pair and using them together to obtain a more robust characterization. Various alternatives are also studied to merge the information provided by the individual texture operators. Finally, the best approach in terms of robustness and efficiency is proposed. After the correspondences have been solved, for every pair of consecutive images we obtain a list of image features in the first image and their matchings in the next frame. Our aim is now to recover the apparent motion of the camera from these features. Although an accurate texture analysis is devoted to the matching pro-cedure, some false matches (known as outliers) could still appear among the right correspon-dences. For this reason, a robust estimation technique is used to estimate the planar transformation (homography) which explains the dominant motion of the image. Next, this homography is used to warp the processed image to the common mosaic frame, constructing a composite image formed by every frame of the sequence. With the aim of estimating the position of the vehicle as the mosaic is being constructed, the 3D motion of the vehicle can be computed from the measurements obtained by a sonar altimeter and the incremental motion computed from the homography. Unfortunately, as the mosaic increases in size, image local alignment errors increase the inaccuracies associated to the position of the vehicle. Occasionally, the trajectory described by the vehicle may cross over itself. In this situation new information is available, and the system can readjust the position estimates. Our proposal consists not only in localizing the vehicle, but also in readjusting the trajectory described by the vehicle when crossover information is obtained. This is achieved by implementing an Augmented State Kalman Filter (ASKF). Kalman filtering appears as an adequate framework to deal with position estimates and their associated covariances. Finally, some experimental results are shown. A laboratory setup has been used to analyze and evaluate the accuracy of the mosaicking system. This setup enables a quantitative measurement of the accumulated errors of the mosaics created in the lab. Then, the results obtained from real sea trials using the URIS underwater vehicle are shown.