Depth Map Based Facade Abstraction from Noisy Multi-View Stereo Point Clouds
Depth Map Based Facade Abstraction from Noisy Multi-View Stereo Point Clouds
复制标题
从嘈杂的多视图立体点云中基于深度图的立面抽象
DOI：
10.1007/978-3-319-45886-1_13
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
O. Hellwich
中科院分区：
文献类型：
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作者：
A. Ley;O. Hellwich
Multi-View Stereo为获取3D点云提供了一种经济实惠且灵活的方法。然而，这些点云容易出现错误和丢失区域。此外，捕获表面本质的简单网格形式的抽象通常优于原始点云测量。我们提出了一个全自动的管道，计算这样一个网格从嘈杂的点云的建筑立面。我们利用先前的工作铸造的2.5D深度图的计算作为一个标签的问题，并表明，这种配方具有很大的潜力，作为一个中间表示的背景下，建筑立面重建。
Multi-View Stereo offers an affordable and flexible method for the acquisition of 3D point clouds. However, these point clouds are prone to errors and missing regions. In addition, an abstraction in the form of a simple mesh capturing the essence of the surface is usually preferred over the raw point cloud measurement. We present a fully automatic pipeline that computes such a mesh from the noisy point cloud of a building facade. We leverage prior work on casting the computation of a 2.5D depth map as a labeling problem and show that this formulation has great potential as an intermediate representation in the context of building facade reconstruction.