24 resultados para Vision-Based Forced Landing


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This paper presents a pattern recognition method focused on paintings images. The purpose is construct a system able to recognize authors or art styles based on common elements of his work (here called patterns). The method is based on comparing images that contain the same or similar patterns. It uses different computer vision techniques, like SIFT and SURF, to describe the patterns in descriptors, K-Means to classify and simplify these descriptors, and RANSAC to determine and detect good results. The method are good to find patterns of known images but not so good if they are not.

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Morphological transitions are analyzed for a radial multiparticle diffusion-limited aggregation process grown under a convective drift. The introduction of a tangential flow changes the morphology of the diffusion-limited structure, into multiarm structures, inclined opposite to the flow, whose limit consists of single arms, when decreasing density. The case of shear flow is also considered. The anisotropy of the patterns is characterized in terms of a tangential correlation function based analysis. Comparison between the simulation results and preliminary experimental results has been done.

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[cat] El presente artículo ofrece una aproximación al complejo fenómeno del exilio provocado por la Guerra Civil española desde un punto de vista poco analizado hasta este momento: el estudio a través de los epistolarios existentes de los sentimientos personales que hizo aflorar este abandono forzado del país (miedos, deseos, esperanzas, incertidumbres, preocupaciones e inquietudes, ánimos, etc.). Para conseguir esta visión más personal hemos basado nuestra investigación en el análisis de unas fuentes que consideramos poco trabajadas hasta el momento como son los epistolarios. El estudio de éstos, ya sean fuentes primarias depositadas en fondos de archivos diversos de Catalunya como los epistolarios editados, nos ha permitido obtener un testimonio personal y de primera mano de un fenómeno, el del exilio, tratado principalmente hasta ahora desde un punto de vista colectivo. El análisis, centrado básicamente en personajes catalanes y en el periodo comprendido entre 1939 y 1946 (cuando se desvanece definitivamente la esperanza que la victoria aliada provoque el fin del régimen) pone de manifiesto una voluntad común: el ansia del retorno.

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The Goliath grouper, Epinephelus itajara, a large-bodied (similar to 2.5 m TL, > 400 kg) and critically endangered fish (Epinephelidae), is highly Vulnerable to overfishing. Although protected from fishing in many countries, its exploitation in Mexico is unregulated; a situation that puts its populations at risk. Fishery records of E. itajara are scarce, which prevents determination of its fishery status. This work aimed to elucidate the E itajara fishery in the northern Yucatan Peninsula by 1) analyzing available catch records and 2) interviewing veteran fishermen (local ecological knowledge) from two traditional landing sites: Dzilam de Bravo and Puerto Progreso. Historic fishery records from two fishing cooperatives were analyzed in order to elucidate the current situation and offer viable alternatives for conservation and management. Catches have decreased severely. Local knowledge obtained from fishermen represented a very important source of information for reconstructing the fisheries history of this species. Conservation measures that incorporate regional and international regulations on critically endangered fish species are suggested

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This work proposes the development of an embedded real-time fruit detection system for future automatic fruit harvesting. The proposed embedded system is based on an ARM Cortex-M4 (STM32F407VGT6) processor and an Omnivision OV7670 color camera. The future goal of this embedded vision system will be to control a robotized arm to automatically select and pick some fruit directly from the tree. The complete embedded system has been designed to be placed directly in the gripper tool of the future robotized harvesting arm. The embedded system will be able to perform real-time fruit detection and tracking by using a three-dimensional look-up-table (LUT) defined in the RGB color space and optimized for fruit picking. Additionally, two different methodologies for creating optimized 3D LUTs based on existing linear color models and fruit histograms were implemented in this work and compared for the case of red peaches. The resulting system is able to acquire general and zoomed orchard images and to update the relative tracking information of a red peach in the tree ten times per second.

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[spa] El presente artículo ofrece una aproximación al complejo fenómeno del exilio provocado por la Guerra Civil española desde un punto de vista poco analizado hasta este momento: el estudio a través de los epistolarios existentes de los sentimientos personales que hizo aflorar este abandono forzado del país (miedos, deseos, esperanzas, incertidumbres, preocupaciones e inquietudes, ánimos, etc.). Para conseguir esta visión más personal hemos basado nuestra investigación en el análisis de unas fuentes que consideramos poco trabajadas hasta el momento como son los epistolarios. El estudio de éstos, ya sean fuentes primarias depositadas en fondos de archivos diversos de Catalunya como los epistolarios editados, nos ha permitido obtener un testimonio personal y de primera mano de un fenómeno, el del exilio, tratado principalmente hasta ahora desde un punto de vista colectivo. El análisis, centrado básicamente en personajes catalanes y en el periodo comprendido entre 1939 y 1946 (cuando se desvanece definitivamente la esperanza que la victoria aliada provoque el fin del régimen) pone de manifiesto una voluntad común: el ansia del retorno.

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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

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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

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One of the major problems in machine vision is the segmentation of images of natural scenes. This paper presents a new proposal for the image segmentation problem which has been based on the integration of edge and region information. The main contours of the scene are detected and used to guide the posterior region growing process. The algorithm places a number of seeds at both sides of a contour allowing stating a set of concurrent growing processes. A previous analysis of the seeds permits to adjust the homogeneity criterion to the regions's characteristics. A new homogeneity criterion based on clustering analysis and convex hull construction is proposed