In this paper, a new method capable to extract the wall openings (windows and doors) of interior scenes from point clouds under cluttered and occluded environments is presented. For each wall surface extracted by the polyhedral model of a room, our method constructs a cell complex representation, which is used for the wall object segmentation using a graph-cut method. We evaluate the results of the proposed approach on real-world 3D scans of indoor environments and demonstrate its validity.
The method developed by REF , on the contrary, extracts windows and doors only from point clouds, constructing a cell-complex representation for each wall, which is then used for the wall object segmentation via a graph-cut method.
Bayesian graph-cut optimization for wall surfaces reconstruction in indoor environments
The Visual Computer
The Visual Computer
Computer Science