Indoor scene reconstruction from LiDAR point cloud based on roof extraction

被引:0
|
作者
Gao, Xiang [1 ]
Yang, Ronghao [1 ]
Chen, Xuewen [1 ]
Tan, Junxiang [1 ]
Liu, Yan [2 ]
Liu, Shaojun [3 ]
机构
[1] Chengdu Univ Technol, Coll Earth & Planetary Sci, Joint Innovat Ctr Intelligent Unmanned Percept Sys, Chengdu 610059, Sichuan, Peoples R China
[2] Chengdu Univ Technol, Coll Geog & Planning, Chengdu 610059, Sichuan, Peoples R China
[3] Hainan Inst Meteorol Sci, Key Lab South China Sea Meteorol Disaster Prevent, Haikou 570203, Hainan, Peoples R China
来源
关键词
Indoor scene modeling; Roof extraction; Floor plan; Point cloud; BUILDING MODELS; FLOORPLAN RECONSTRUCTION; AUTOMATIC RECONSTRUCTION; INTERIORS; FRAMEWORK; SEMANTICS;
D O I
10.1016/j.jobe.2024.110874
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Indoor scene reconstruction from LiDAR point clouds is crucial for indoor navigation, scan-toBIM, and virtual reality. However, occlusions caused by furniture and clutter make this task challenging. This paper introduces a novel framework for reconstructing 3D models using typically unoccluded ceiling point clouds, because the ceiling is difficult to be obstructed by indoor objects and is relatively well preserved. This framework starts with extracting the roof, roof is extracted by a proposed method based on cloth simulation which can extract various shape of roofs. Then a room instance map of the scene is obtained by input the point cloud density map to Mask R-CNN. By overlapping the roof point cloud and room instance map, the whole roof is segmented into roof points of different rooms. Next, we extracted the contours of every room's roof and a new algorithm was proposed to detect connections between different rooms to restore the topological relationship between rooms, generating the scene's floor plan. Finally, by detecting the contours and connections' height, the floor plan is stretched to detected height to generate a 3D model. To evaluate the proposed method's effectiveness, experiments were conducted on two indoor LiDAR point cloud datasets, GibLayout and ISPRS Benchmark, comprising a total of 13 scenes. The results were compared with representative methods, including Floor-sp and Heat for floor plan extraction, and Polyfit and KSR for 3D model reconstruction. The experimental results show that the new method outperform existing approaches, enabling the reconstruction of highly overlapping 3D models of real scenes.
引用
收藏
页数:22
相关论文
共 50 条
  • [1] Bulding roof boundary extraction from LiDAR point cloud
    Zeng, Qihong
    Mao, Jianhua
    Li, Xianhua
    Liu, Xuefeng
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University, 2009, 34 (04): : 383 - 386
  • [2] A cGANs-based scene reconstruction model using Lidar point cloud
    Ouyang, Zhenchao
    Liu, Yu
    Zhang, Changjie
    Niu, Jianwei
    2017 15TH IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS AND 2017 16TH IEEE INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING AND COMMUNICATIONS (ISPA/IUCC 2017), 2017, : 1107 - 1114
  • [3] RULE-BASED SEGMENTATION OF LIDAR POINT CLOUD FOR AUTOMATIC EXTRACTION OF BUILDING ROOF PLANES
    Awrangjeb, Mohammad
    Fraser, Clive S.
    CMRT13 - CITY MODELS, ROADS AND TRAFFIC 2013, 2013, II-3/W3 : 1 - 6
  • [4] Automatic 3D reconstruction of electrical substation scene from LiDAR point cloud
    Wu, Qiaoyun
    Yang, Hongbin
    Wei, Mingqiang
    Remil, Oussama
    Wang, Bo
    Wang, Jun
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 143 : 57 - 71
  • [5] Roof plane extraction from airborne lidar point clouds
    Cao, Rujun
    Zhang, Yongjun
    Liu, Xinyi
    Zhao, Zongze
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017, 38 (12) : 3684 - 3703
  • [6] 3D Building Scene Reconstruction Based on 3D LiDAR Point Cloud
    Yang, Shih-Chi
    Fan, Yu-Cheng
    2017 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW), 2017,
  • [7] Building Contour Extraction Based on LiDAR Point Cloud
    Zhang, Xu-Qing
    Wang, Heng
    Shan, Yong-Hua
    Leng, Liang
    2017 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (IST 2017), 2017, 11
  • [8] A study on roof point extraction based on robust estimation from airborne LIDAR data
    Chio, Shih-Hong
    JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2008, 31 (04) : 537 - 550
  • [9] Simple building reconstruction from LIDAR point cloud
    Zeng, Qihong
    Lai, Jiazhen
    Li, Xianhua
    Mao, Jianhua
    Liu, Xuefeng
    2008 INTERNATIONAL CONFERENCE ON AUDIO, LANGUAGE AND IMAGE PROCESSING, VOLS 1 AND 2, PROCEEDINGS, 2008, : 1040 - 1044
  • [10] Three-dimensional Reconstruction of Indoor Whole Elements Based on Mobile LiDAR Point Cloud Data
    Gong, Yuejian
    Mao, Wenbo
    Bi, Jiantao
    Wei, Ji
    He, Zhanjun
    LIDAR REMOTE SENSING FOR ENVIRONMENTAL MONITORING XIV, 2014, 9262