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.
CITATION STYLE
Yang, J., & Shi, Z. (2014). Image-based 3D semantic modeling of building facade. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8671, 661–671. https://doi.org/10.1007/978-3-319-11331-9_79
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