Three-dimensional building façade segmentation and opening area detection from point clouds

Files in This Item:
File Description SizeFormat 
Slicing Method.pdfThis is a draft version of the paper. Also, it is the extended work of the Slicing Method which is available at MBAdobe PDFDownload
Title: Three-dimensional building façade segmentation and opening area detection from point clouds
Authors: Zolanvari, S. M. Iman
Laefer, Debra F.
Natanzi, Atteyeh S.
Permanent link:
Date: Sep-2018
Abstract: Laser scanning generates a point cloud from which geometries can be extracted, but most methods struggle to do this automatically, especially for the entirety of an architecturally complex building (as opposed to that of a single façade). To address this issue, this paper introduces the Improved Slicing Method (ISM), an innovative and computationally-efficient method for three-dimensional building segmentation. The method is also able to detect opening boundaries even on roofs (e.g. chimneys), as well as a building’s overall outer boundaries using a local density analysis technique. The proposed procedure is validated by its application to two architecturally complex, historic brick buildings. Accuracies of at least 86% were achieved, with computational times as little as 0.53 s for detecting features from a data set of 5.0 million points. The accuracy more than rivalled the current state of the art, while being up to six times faster and with the further advantage of requiring no manual intervention or reliance on a priori information.
Funding Details: European Research Council
Type of material: Journal Article
Publisher: Elsevier
Journal: ISPRS Journal of Photogrammetry and Remote Sensing
Volume: 143
Copyright (published version): 2018 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS)
Keywords: Point cloud segmentationFeature detectionThree-dimensional model reconstructionLight Detection and Ranging (LiDAR)Laser scanning
DOI: 10.1016/j.isprsjprs.2018.04.004
Language: en
Status of Item: Peer reviewed
Appears in Collections:Civil Engineering Research Collection

Show full item record

Citations 50

Last Week
Last month
checked on Nov 20, 2018

Google ScholarTM



This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.