从控制的近距离图像中提取有纹理的垂直立面

S. Coorg, S. Teller
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引用次数: 86

摘要

我们正在开发一种系统,从数千张最初不受控制的城市场景近距离地面和航空图像中提取大地测量学和纹理CAD模型。在这里,我们描述了系统的一个组成部分,它在图像被控制或地理参考后运行。这个全自动组件检测场景中重要的垂直立面,然后将它们挤出以满足推断的三角地形和程序生成的屋顶多边形。然后,该算法根据对该表面的许多可用观察结果,估计每个表面的计算机图形纹理或漫反射图。我们在一个复杂的数据集上展示了该算法的结果:在高度变化的照明条件下,近4000幅小型(200平方米)办公园区的高分辨率数字图像在近距离获得,由于多个相互遮挡的结构和茂密的树叶造成了严重的遮挡。虽然结果的保真度不如交互式系统所能达到的保真度,但我们的算法是第一个在如此庞大的真实数据集上进行演示的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extracting textured vertical facades from controlled close-range imagery
We are developing a system to extract geodetic, textured CAD models from thousands of initially uncontrolled, close-range ground and aerial images of urban scenes. Here we describe one component of the system, which operates after the imagery has been controlled or geo-referenced. This fully automatic component detects significant vertical facades in the scene, then extrudes them to meet an inferred, triangulated terrain and procedurally generated roof polygons. The algorithm then estimates for each surface a computer graphics texture, or diffuse reflectance map, from the many available observations of that surface. We present the results of the algorithm on a complex dataset: nearly 4,000 high-resolution digital images of a small (200 meter square) office park, acquired from close range under highly varying lighting conditions, amidst significant occlusion due both to multiple inter-occluding structures, and dense foliage. While the results are of less fidelity than that would be achievable by an interactive system, our algorithm is the first to be demonstrated on such a large, real-world dataset.
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