Void-growing: a novel Scan-to-BIM method for manhattan world buildings from point cloud

Abstract: The automated generation of 3D models of buildings from point clouds is under heavy research. Currently, this Scan-to-BIM process requires high manual effort, and the previous research in buildings under low occlusion level. We propose a novel “void-growing” approach that extracts walls, floors, and ceilings automatically. Different from the majority of current approaches starting with detecting surfaces of elements, our approach grows the void volume space inside a room first and it performs well in occluded environments. It can reconstruct simple cuboid rooms and complex rooms like L-shape and U-shape rooms. Different ceiling heights caused by suspended ceilings can also be represented.