Image-Based 3D Semantic Modeling of Building Facade

3D building modeling has many potential uses in the fields of construction, city planning and public security. An image-based 3D semantic modeling method of building facade is proposed in this paper. Dense point clouds are generated from inputting images by structure from motion and cluster based multi-view-stereo algorithms. Planar components are extracted from generated point clouds by random sample consensus and further recognized as structural components based on prior knowledge. Windows are detected through a multi-layer complementary strategy with binary image processing techniques. Experimental results from two building facades verify the proposed method.