Because of the uniformity of three-dimensional scattered point cloud, the varying of local point cloud density affects the point cloud segmentation. To solve the problem, a method considering local point cloud density for automated segmentation of building facades from point clouds is presented. Based on the introduction of local point cloud density, self-adaptive segmentation processes and algorithms are designed. Results of contrast experiments show that the proposed method is better than that without considering the local point cloud density.