ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W3, 37-42, 2013
https://doi.org/10.5194/isprsannals-II-3-W3-37-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
08 Oct 2013
Feature-Driven 3D Building Modeling using Planar Halfspaces
M. Kada and A. Wichmann Institute for Geoinformatics and Remote Sensing (IGF), University of Osnabrück Barbarastr. 22b, 49076 Osnabrück, Germany
Keywords: Reconstruction, Building, Three-dimensional, Feature, Modelling Abstract. With the exception of pure data-driven methods, reconstruction approaches for 3D building models from aerial point clouds often incorporate some level of model information to construct regularized and well-formed roof structures. In the proposed feature-driven approach, low-level roof features like ridge lines, gable and (half-) hip ends, intersecting ridge lines, dormers etc. are detected in a hierarchical rule-based feature recognition process based on a sub-surface segmentation of the point cloud. With each feature type, a number of planar half-spaces are associated that define a certain part of the resulting 3D building model as a mathematical inequality equation. The Boolean intersection of half-spaces define convex building components that can be united to generate more complex building shapes, where the features enforce that the half-spaces are nicely aligned.
Conference paper (PDF, 763 KB)


Citation: Kada, M. and Wichmann, A.: Feature-Driven 3D Building Modeling using Planar Halfspaces, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W3, 37-42, https://doi.org/10.5194/isprsannals-II-3-W3-37-2013, 2013.

BibTeX EndNote Reference Manager XML