Figures & data
Figure 1 General work-flow of building model reconstruction. It includes three main steps: building region detection, features extraction and model generation.
Figure 2 The parameters of a plane for 3D Hough transform. Figure courtesy of Overby et al. Citation(21).
Figure 3 Rule based roof detection to extract multiple-roofs simultaneously. The graph contains roof planes and points clustering in Hough space. Figure courtesy of Huang and Brenner Citation(23).
Figure 4 The sizes of roofs are influenced by the detection sequence, (a) model with four same size planar surfaces, (b) sizes of detected results and (c) final results after competition.
Figure 5 Real edges position of building. (a) The laser beam hits the edge of a building. (b) The correct position of edge should be close to p, not in the middle part of p and q 2.
Figure 6 Neighbourhood defined by (a) planimetric distance, (b) 3D distance, (c) distance measured by local surface. Figure courtesy of Filin and Pfeifer Citation(27), © ASPRS.
Figure 7 Typical information for building model generation. (a) Input: original image and point cloud data. (b) Detected 2D line features and 3D planar roof features. (c) Final model with correct topological relations.
Figure 8 Regularity definition. Figure courtesy of Pauly and colleagues Citation(30). © 2006 ACM.
Figure 9 Geometry constraints used to update the quality of connecting edges of buildings. Figure courtesy of Rottensteiner Citation(35).
