Skip to main content

Research Repository

Advanced Search


Shen, Le; Li, Guiqing; Xian, Chuhua; Jiang, Yang; Xiong, Yunhui


Le Shen

Guiqing Li

Chuhua Xian

Yunhui Xiong


This paper proposes a 3D-2D-3D algorithm for doors and windows detection in 3D indoor environment of point cloud data. Firstly, by setting up a virtual camera in the middle of this 3D environment, a set of pictures are taken from different angles by rotating the camera, so that corresponding 2D images can be generated. Next, these images are used to detect and identify the positions of doors and windows in the space. To obtain point cloud data containing the doors and windows position information, the 2D information are then mapped back to the origin 3D point cloud environment. Finally, by processing the contour lines and crossing points, the features of doors and windows through the position information are optimized. The experimental results show that this "global-local" approach is efficient when detecting and identifying the location of doors and windows in 3D point cloud environment. The full text of this article is in Chinese.


SHEN, L., LI, G., XIAN, C., JIANG, Y. and XIONG, Y. 2019. 室内3D点云模型的门窗检测. Jisuanji fuzhu sheji yu tuxingxue xuebao/Journal of computer-aided design and computer graphics [online], 31(9), pages 1494-1501. Available from:

Journal Article Type Article
Acceptance Date Aug 19, 2019
Online Publication Date Aug 19, 2019
Publication Date Sep 30, 2019
Deposit Date Mar 6, 2020
Publicly Available Date Mar 6, 2020
Journal Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics
Print ISSN 1003-9775
Publisher Institute of Computing Technology of the Chinese Academy of Sciences
Peer Reviewed Peer Reviewed
Volume 31
Issue 9
Pages 1494-1501
Keywords Door and window detection; Feature corner points; Indoor scene; Object detection; Point cloud
Public URL
Publisher URL


You might also like

Downloadable Citations