Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery
Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery
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DOI：
10.1007/bfb0015525
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发表时间：
1996-04
期刊：
影响因子：
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通讯作者：
F. Bignone;O. Henricsson;P. Fua;M. Stricker
中科院分区：
文献类型：
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作者：
F. Bignone;O. Henricsson;P. Fua;M. Stricker
我们提出了一种技术来提取复杂的郊区屋顶从套航空图像。由于我们结合了联合收割机的二维边缘信息、光度和色度属性以及三维信息，因此可以处理复杂的房屋。我们既不假设屋顶是平的或直线的，也不需要参数化的建筑模型。从一幅图像中提取二维边缘及其对应的属性和关系。使用基于所有可用图像的分段立体匹配，计算这些边缘的3-D位置。然后将3-D片段分组为平面，并提取2-D外壳，从而允许推断描述房屋屋顶的相邻3-D补丁。为了实现这一点，我们已经开发了一个层次化的程序，有效地池的信息，同时保持控制下的组合。特别重要的是2-D和3-D分析的紧密耦合。
We present a technique to extract complex suburban roofs from sets of aerial images. Because we combine 2-D edge information, photometric and chromatic attributes and 3-D information, we can deal with complex houses. Neither do we assume the roofs to be flat or rectilinear nor do we require parameterized building models. From only one image, 2-D edges and their corresponding attributes and relations are extracted. Using a segment stereo matching based on all available images, the 3-D location of these edges are computed. The 3-D segments are then grouped into planes and 2-D enclosures are extracted, thereby allowing to infer adjoining 3-D patches describing roofs of houses. To achieve this, we have developed a hierarchical procedure that effectively pools the information while keeping the combinatorics under control. Of particular importance is the tight coupling of 2-D and 3-D analysis.