198 resultados para Algoritmo computacional
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Pós-graduação em Matemática - IBILCE
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Pós-graduação em Química - IQ
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Pós-graduação em Design - FAAC
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Pós-graduação em Ciência da Computação - IBILCE
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Pós-graduação em Engenharia Elétrica - FEIS
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Pós-graduação em Engenharia Elétrica - FEIS
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Pós-graduação em Engenharia Elétrica - FEIS
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Pós-graduação em Engenharia Elétrica - FEIS
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Pós-graduação em Ciência e Tecnologia de Materiais - FC
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Pós-graduação em Química - IQ
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Pós-graduação em Engenharia Elétrica - FEIS
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Pós-graduação em Biociências - FCLAS
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Techniques of image combination, with extraction of objects to set a final scene, are very used in applications from photos montages to cinematographic productions. These techniques are called digital matting. With them is possible to decrease the cost of productions, because it is not necessary for the actor to be filmed in the location where the final scene occurs. This feature also favors its use in programs made to digital television, which demands a high quality image. Many digital matting algorithms use markings done on the images, to demarcate what is the foreground, the background and the uncertainty areas. This marking is called trimap, which is a triple map containing these three informations. The trimap is done, typically, from manual markings. In this project, methods were created that can be used in digital matting algorithms, with restriction of time and without human interaction, that is, the creation of an algorithm that generates the trimap automatically. This last one can be generated from the difference between a color of an arbitrary background and the foreground, or by using a depth map. It was also created a matting method, based on the Geodesic Matting (BAI; SAPIRO, 2009), which has an inferior processing time then the original one. Aiming to improve the performance of the applications that generates the trimap and of the algorithms that generates the alphamap (map that associates a value to the transparency of each pixel of the image), allowing its use in applications with time restrictions, it was used the CUDA architecture. Taking advantage, this way, of the computational power and the features of the GPGPU, which is massively parallel
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This work aims to examine, the behavior of a combustion chamber in pilot scale, coupled to a regenerative burner. The objective is to obtain a computational domain capable of supporting a simulation of conventional combustion and flameless combustion regimes. The objective is to obtain independence of mesh, analysis of the velocity fields of the fluid within the chamber, temperature and concentration profiles of the species emitted during the combustion process