An Accurate Extraction Algorithm of the Indoor Boundary Features Based on Point Cloud Data

摘要

The boundary feature is of great significance in describing the object shape and constructing 3D model of object. Accurate extraction of boundary features is important to the visualization of the object. This paper presented an accurate extraction algorithm of the indoor boundary features based on point cloud data. The amount of the data was downsampled by the voxelgrid filter. The boundary features of the indoor were extracted by using the angle criterion based on the normal vector and the statistical filtering algorithm. The results show that the boundary features of the indoor can be accurately extracted by the proposed method.