Next Article in Journal
Evaluation of River Network Generalization Methods for Preserving the Drainage Pattern
Previous Article in Journal
Tagging in Volunteered Geographic Information: An Analysis of Tagging Practices for Cities and Urban Regions in OpenStreetMap
Previous Article in Special Issue
Retrieval of Remote Sensing Images with Pattern Spectra Descriptors
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2016, 5(12), 231; doi:10.3390/ijgi5120231

Extraction and Simplification of Building Façade Pieces from Mobile Laser Scanner Point Clouds for 3D Street View Services

School of Information Engineering, Chang’an University, Xi’an 710064, China
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
Xi’an Research Institute of Surveying and Mapping, Xi’an 710054, China
Shandong Provincial Institute of Land Surveying and Mapping, Jinan 250013, China
China Railway SIYUAN Survey & Design Group Co. Ltd., Wuhan 430063, China
Author to whom correspondence should be addressed.
Academic Editors: Beatriz Marcotegui and Wolfgang Kainz
Received: 31 July 2016 / Revised: 24 November 2016 / Accepted: 26 November 2016 / Published: 5 December 2016
(This article belongs to the Special Issue Mathematical Morphology in Geoinformatics)
View Full-Text   |   Download PDF [5860 KB, uploaded 5 December 2016]   |  


Extraction and analysis of building façades are key processes in the three-dimensional (3D) building reconstruction and realistic geometrical modeling of the urban environment, which includes many applications, such as smart city management, autonomous navigation through the urban environment, fly-through rendering, 3D street view, virtual tourism, urban mission planning, etc. This paper proposes a building facade pieces extraction and simplification algorithm based on morphological filtering with point clouds obtained by a mobile laser scanner (MLS). First, this study presents a point cloud projection algorithm with high-accuracy orientation parameters from the position and orientation system (POS) of MLS that can convert large volumes of point cloud data to a raster image. Second, this study proposes a feature extraction approach based on morphological filtering with point cloud projection that can obtain building facade features in an image space. Third, this study designs an inverse transformation of point cloud projection to convert building facade features from an image space to a 3D space. A building facade feature with restricted facade plane detection algorithm is implemented to reconstruct façade pieces for street view service. The results of building facade extraction experiments with large volumes of point cloud from MLS show that the proposed approach is suitable for various types of building facade extraction. The geometric accuracy of building façades is 0.66 m in x direction, 0.64 in y direction and 0.55 m in the vertical direction, which is the same level as the space resolution (0.5 m) of the point cloud. View Full-Text
Keywords: mobile laser scanner (MLS); point cloud; projection image; building facade; morphology; feature extraction mobile laser scanner (MLS); point cloud; projection image; building facade; morphology; feature extraction

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Li, Y.; Hu, Q.; Wu, M.; Liu, J.; Wu, X. Extraction and Simplification of Building Façade Pieces from Mobile Laser Scanner Point Clouds for 3D Street View Services. ISPRS Int. J. Geo-Inf. 2016, 5, 231.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top