Abstract
We present a pipeline to reconstruct complete geometry of architectural buildings from point clouds obtained by sparse range laser scanning. Due to limited accessibility of outdoor environments, complete and sufficient scanning of every face of an architectural building is often impossible. Our pipeline deals with architectures that are made of planar faces and faithfully constructs a polyhedron of low complexity based on the incomplete scans. The pipeline first recognizes planar regions based on point clouds, then proceeds to compute plane intersections and corners 1 , and finally produces a complete polyhedron. Within the pipeline, several algorithms based on the polyhedron geometry assumption are designed to perform data clustering, boundary detection, and face extraction. Our system offers a convenient user interface but minimizes the necessity of user intervention. We demonstrate the capability and advantage of our system by modeling real-life buildings.
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BibTex:
{chen2008architectural,
title={Architectural modeling from sparsely scanned range data},
author={Chen, Jie and Chen, Baoquan},
journal={International Journal of Computer Vision},
volume={78},
number={2-3},
pages={223--236},
year={2008},
publisher={Springer}
}
