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Towards automatic 3D reconstruction of urban scenes from low-altitude aerial images

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3 Author(s)
Huguet, A.B. ; Departamento de Ciencia da Computacao, Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil ; Carceroni, R.L. ; Araujo, A.A.

We propose a methodology for reconstructing large-scale architectural scenes from low-altitude aerial images, in an efficient, accurate and fully automatic way. Towards this goal, we have developed an area-based segmentation technique, called colored watershed, that is particularly suited to segmenting objects with homogeneous photometric properties, which are typical of such scenes. This technique is now being combined with a dense-stereo method biased towards depth discontinuities near the edges of the segmented objects. In a final step, parametric models of these segmented objects are instantiated and directly adjusted to the multiple images available to generate a mixed surface and elevation map for each scene.

Published in:

Image Analysis and Processing, 2003.Proceedings. 12th International Conference on

Date of Conference:

17-19 Sept. 2003

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