927 resultados para Irregular objects
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We discuss a variety of object recognition experiments in which human subjects were presented with realistically rendered images of computer-generated three-dimensional objects, with tight control over stimulus shape, surface properties, illumination, and viewpoint, as well as subjects' prior exposure to the stimulus objects. In all experiments recognition performance was: (1) consistently viewpoint dependent; (2) only partially aided by binocular stereo and other depth information, (3) specific to viewpoints that were familiar; (4) systematically disrupted by rotation in depth more than by deforming the two-dimensional images of the stimuli. These results are consistent with recently advanced computational theories of recognition based on view interpolation.
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We present a component-based approach for recognizing objects under large pose changes. From a set of training images of a given object we extract a large number of components which are clustered based on the similarity of their image features and their locations within the object image. The cluster centers build an initial set of component templates from which we select a subset for the final recognizer. In experiments we evaluate different sizes and types of components and three standard techniques for component selection. The component classifiers are finally compared to global classifiers on a database of four objects.
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We present an immersed interface method for the incompressible Navier Stokes equations capable of handling rigid immersed boundaries. The immersed boundary is represented by a set of Lagrangian control points. In order to guarantee that the no-slip condition on the boundary is satisfied, singular forces are applied on the fluid at the immersed boundary. The forces are related to the jumps in pressure and the jumps in the derivatives of both pressure and velocity, and are interpolated using cubic splines. The strength of singular forces is determined by solving a small system of equations at each time step. The Navier-Stokes equations are discretized on a staggered Cartesian grid by a second order accurate projection method for pressure and velocity.
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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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This paper introduces how artificial intelligence technologies can be integrated into a known computer aided control system design (CACSD) framework, Matlab/Simulink, using an object oriented approach. The aim is to build a framework to aid supervisory systems analysis, design and implementation. The idea is to take advantage of an existing CACSD framework, Matlab/Simulink, so that engineers can proceed: first to design a control system, and then to design a straightforward supervisory system of the control system in the same framework. Thus, expert systems and qualitative reasoning tools are incorporated into this popular CACSD framework to develop a computer aided supervisory system design (CASSD) framework. Object-variables an introduced into Matlab/Simulink for sharing information between tools
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Completed, available and free to use Learning Objects listed by subject area
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Variables - Objects and Primitives, Quick look at scope
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The Centre for Inter-Professional e-Learning (CIPeL) at Coventry University provides a number of useful reusable learning objects.
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The full story on the JavaScript object model, and how prototypes are used instead of classes
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These are the Reusable Learning Objects (RLOs) that Intute have evaluated and added to their nursing and midwifery section. If you search for 'rlo' you'll get a list of over 60 RLOs, they are mostly related to A&P but some of them are about research skills and referencing...
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In this session we look more closely at the way that Java deals with variables, and in particular with the differences between primitives (basic types like int and char) and objects. We also take an initial look at the scoping rules in Java, which dictate the visibility of variables in your program
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An introduction/overview to the whole issue of learning objects, interoperability and IMS specifications in Learning Technology
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Esta monografía se concentra en establecer las implicaciones que ha generado la securitización de la migración irregular, en el marco de la agenda bilateral México-Guatemala, frente a los derechos humanos de los migrantes centroamericanos que buscan el paso, en condiciones de irregularidad , hacia México con destino a Estados Unidos . Lo anterior, tomando como periodo de análisis el comprendido entre 2008 (año en que México y Guatemala se comprometen aún más en la securitización fronteriza) y 2010 (momento en que se evidencian grandes vulneraciones a los derechos humanos de los migrantes). Para ello, en este trabajo de grado se hace uso de la Teoría de la securitización desarrollada por la Escuela de Copenhague a partir de una perspectiva constructivista, que a su vez se inscribe dentro del Paradigma Reflectivista de la disciplina de las Relaciones Internacionales. Al respecto es preciso aclarar que se toman como referencia especialmente algunos aportes de Ole Waever, relativos a los impactos de la securitización excesiva, que consiste en la tendencia de los gobiernos a elevar todos los problemas (sociales, políticos, económicos, entre otros) al nivel de seguridad; razón por la que dicho autor advierte sobre la necesidad de desecuritización de ciertos asuntos que, como la migración, no necesariamente habrían de ser elevados a dicho nivel.
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Formative exercise on projecting 3D objects for FEEG1001 students.