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Cycle graph analysis for 3D roof structure modelling: Concepts and performance

机译:3D屋顶结构建模的循环图分析:概念和性能

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The paper presents a cycle graph analysis approach to the automatic reconstruction of 3D roof models from airborne laser scanner data. The nature of convergences of topological relations of plane adjacencies, allowing for the reconstruction of roof corner geometries with preserved topology, can be derived from cycles in roof topology graphs. The topology between roof adjacencies is defined in terms of ridge-lines and step-edges. In the proposed method, the input point cloud is first segmented and roof topology is derived while extracting roof planes from identified non-terrain segments. Orientation and placement regularities are applied on weakly defined edges using a piecewise regularization approach prior to the reconstruction, which assists in preserving symmetries in building geometry. Roof corners are geometrically modelled using the shortest closed cycles and the outermost cycle derived from roof topology graph in which external target graphs are no longer required. Based on test results, we show that the proposed approach can handle complexities with nearly 90% of the detected roof faces reconstructed correctly. The approach allows complex height jumps and various types of building roofs to be firmly reconstructed without prior knowledge of primitive building types.
机译:本文提出了一种循环图分析方法,可根据机载激光扫描仪数据自动重建3D屋顶模型。可以从屋顶拓扑图中的循环中得出平面邻接关系拓扑关系收敛的性质,从而可以使用保留的拓扑结构重建屋顶拐角的几何形状。屋顶相邻区域之间的拓扑结构是根据山脊线和台阶边缘定义的。在所提出的方法中,首先对输入点云进行分割,然后从识别出的非地形段中提取屋顶平面的同时导出屋顶拓扑。在重建之前,使用分段正则化方法将方向和放置规律应用于弱定义的边缘,这有助于保持建筑物几何形状中的对称性。使用最短的封闭周期和最外面的周期(从不再需要外部目标图的屋顶拓扑图得出)对屋顶角进行几何建模。根据测试结果,我们证明了该方法可以正确地重建将近90%的被检测屋顶表面的复杂性。该方法无需事先了解原始建筑类型,即可可靠地重建复杂的高度变化和各种类型的建筑物屋顶。

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