基于低空航拍图像的城市场景自动三维重建

Adriano B. Huguet, R. Carceroni, A. Araújo
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引用次数: 7

摘要

本文提出了一种高效、准确、全自动的低空航拍大尺度建筑场景重建方法。为了实现这一目标,我们开发了一种基于区域的分割技术,称为彩色分水岭,特别适合分割具有均匀光度属性的物体,这是典型的场景。这种技术现在正在与一种密集立体方法相结合,这种方法偏向于分割对象边缘附近的深度不连续。在最后一步,这些分割对象的参数化模型被实例化,并直接调整到多个可用的图像,为每个场景生成混合的表面和高程图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards automatic 3D reconstruction of urban scenes from low-altitude aerial images
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.
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