Point cloud processing is an essential task in many applications in the AEC domain, such as
automated progress assessment, quality control and 3D reconstruction. As much of the …

To the best of our knowledge, the most recent light detection and ranging (lidar)-based
surveys have been focused only on specific applications such as reconstruction and …

The integration of building information model (BIM) with point cloud from 3-D laser scanner
provides powerful assistance in a variety of applications in the life cycle of building …

Line segment extraction from point clouds is critical for analyzing and understanding large-
scale scenes. The main challenge is to generate line segments accurately as well as …

Vectorized reconstruction from indoor point cloud has attracted increasing attention in recent
years due to its high regularity and low memory consumption. Compared with aerial …

In spite of recent advances, a significant disparity between automatically reconstructed
building information models (BIMs) and real scenes persists, particularly within complex …

This paper introduces a framework for reconstructing fine-grained room-level models from
indoor point clouds. The motivation behind our method stems from the consistent floorwise …

Three-dimensional indoor models have wide applications in fields such as indoor
navigation, civil engineering, virtual reality, and so on. With the development of LiDAR …

A 3D reconstruction enables an effective geometric representation to support various
applications. Recently, learning‐based multi‐view stereo (MVS) algorithms have emerged …

Interpreting 3D point cloud data of the interior and exterior of buildings is essential for
automated navigation, interaction and 3D reconstruction. However, the direct exploitation of …