7 resultados para Visión estéreo

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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In general, a land-based mobile mapping system is featured by a vehicle with a pair of video cameras mounted on the top and positioning and navigation sensors loaded in the vehicle. Considering the pair of video cameras mounted on the roof of the vehicle as a stereo camera pointing forward with both optical axes parallel to each other and orthogonal to the stereo base, whose length is 0.94 m, this paper aims at analyzing the interior and exterior camera orientation and the object point coordinates estimated by phototriangulation when the length constraint related to the stereo base is considered or not. The results show that the stereo base constraint has effect ouver the convergence estimation, but does it neither improves the object point coordinate estimation at significance level of 5% and nor it influences the interior orientation parameters. Finally, it has been noticed that the optical axes are not truly parallel to each other and orthogonal to the stereo base. Additionally, it has been observed that there is a convergence of approximately 0.5 degrees in the optical axes and they are not in the same plane (approximately 0.8 degrees deviation).

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This article proposes a method for 3D road extraction from a stereopair of aerial images. The dynamic programming (DP) algorithm is used to carry out the optimization process in the object-space, instead of usually doing it in the image-space such as the DP traditional methodologies. This means that road centerlines are directly traced in the object-space, implying that a mathematical relationship is necessary to connect road points in object and image-space. This allows the integration of radiometric information from images into the associate mathematical road model. As the approach depends on an initial approximation of each road, it is necessary a few seed points to coarsely describe the road. Usually, the proposed method allows good results to be obtained, but large anomalies along the road can disturb its performance. Therefore, the method can be used for practical application, although it is expected some kind of local manual edition of the extracted road centerline.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Ciência da Computação - IBILCE

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A visão estéreo é uma forma eficiente para navegação, pois com a estimativa de profundidade, é possível verificar se um caminho pré determinado pode ser utilizado para chegar ao destino definido, e ainda estimar durante qual profundidade esta mesma estimativa continuará sendo válida. As imagens capturadas por cada câmera são retificadas, de forma que as mesmas fiquem alinhadas horizontalmente, colaborando-se assim com o desempenho dos algoritmos de correspondência, responsáveis pela construção da matriz de disparidades. Com base nessa matriz, é criada a matriz de disparidade “V” para que seja possível mapear a informação de profundidade de cada objeto, os quais podem representar obstruções e anteparos na cena observada.