Terrain Reconstruction from Multiple Views

Terrain Reconstruction from Multiple Views
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多视图地形重建

DOI:
10.1007/3-540-63460-6_180
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发表时间:
1997
期刊:
Artif. Intell.
影响因子:
--
通讯作者:
R. Haralick
R. Haralick
中科院分区:
--
文献类型:
--
作者:
G. Gimel'farb;R. Haralick

文献摘要

被引文献

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讨论了一种两阶段的方法来重建一个密集的数字高程模型(DEM)的地形从多个预先校准的图像,在不同的相机在不同的时间在不同的照明。首先,利用地形点与相应图像灰度值之间的简单关系,对地形点进行基于体素的独立重建,得到地形DEM和正射影像。与其他方法不同的是,通过评估每个重建地形点的置信度,隐式地考虑了可能的遮挡和变化的阴影布局。然后,重建的DEM的细化,排除闭塞的信心较低的信心点和平滑的信心值。实验与RADIUS模型板的图像表明,最终的细化和平滑的DEM提供了一个可行的近似所需的地形。
A two-stage approach is discussed for reconstructing a dense digital elevation model (DEM) of the terrain from multiple pre-calibrated images taken by distinct cameras at different time under various illumination. First, the terrain DEM and orthoimage are obtained by independent voxel-based reconstruction of the terrain points using simple relations between the corresponding image gray values. As distinct from other approaches, possible occlusions and changing shadow layouts are taken into account implicitly by evaluating a confidence of every reconstructed terrain point. Then, the reconstructed DEM is refined by excluding occlusions of more confident points by less confident ones and smoothed with due account of the confidence values. Experiments with RADIUS model-board images show that the final refined and smoothed DEM gives a feasible approximation to the desired terrain.