Abstract
As a fast data acquisition technique, Light Detection and Ranging (LIDAR) can be widely used in many applications, such as visualization, GIS and mobile communication. Since manual surface reconstruction is very costly and time consuming, the development of automated algorithms is of great importance. In this paper a fully automated technique to extract urban building models from LIDAR data is presented. First, LIDAR points are re-sampled into regular grids with the optimal pixel size. After filling holes in the range image, Delaunay Triangulation is utilized to generate 3D triangle meshes. Building height mask is then applied to extract building roof points. Finally, a geometric primitive-based fitting approach is adopted to verify and refine the reconstructed models. The algorithm is tested on two buildings from a locally acquired LIDAR data set. The results indicate that our approach is suitable for automatically producing urban building models from LIDAR data.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Forstner, W.: 3D-City Models: Automatic and Semiautomatic Acquisition Methods. In: Proc. Photogrammetric Week, pp. 291–303 (1999)
Hu, J., You, S., Neuman, U.: Approaches to Large-Scale Urban Modeling. Journal of IEEE Computer Graphics & Applications, 62–69 (November/December 2003)
Shiode, N.: 3D Urban Models: Recent Developments in the Digital Modeling of Urban Environments in Three-Dimensions. GeoJournal 52(3), 263–269 (2001)
Dash, J., Steinle, E., Singh, R., Bahr, H.: Automatic building extraction from laser scanning data: an input tool for disaster management. Advances in Space Research 33, 317–322
Elaksher, A.F., Bethel, J.S.: Building Extraction Using LIDAR Data. In: Proc. ASPRS-ACSM Annual Conference and FIG XXII Congress, pp. 22–26 (2002)
Tse, R.O.C., Dakowicz, M., Gold, C.M., Kidner, D.B.: Building Reconstruction Using LIDAR Data. In: Proc. 4th ISPRS Workshop on Dynamic & Multi-dimensional GIS, pp. 156–161 (2005)
Seresht, M., Azizi, A.: Automatic Building Recognition from Digital Aerial Images. In: Proc. 19th ISPRS Congress, Book 3B, pp. 792–798 (2000)
Michael, M., Tempeli, K.: Automatic Building Extraction from Airborne Laser Scanning Data. In: Proc. 19th ISPRS Congress, Book 3B, pp. 616–623 (2000)
You, S., Hu, J., Neumann, U., Fox, P.: Site Modeling from LIDAR. LNCS, vol. 2669, pp. 579–588. Springer, Berlin (2003)
Jiang, J., Ming, Y., Zhang, Z., Zhang, J.: Point-based 3D Surface Representation from LIDAR Point Clouds. In: Proc. 4th ISPRS Workshop on Dynamic & Multi-dimensional GIS, pp. 63–67 (2005)
Michael, R.: Development of a Bare Ground DEM and Canopy Layer in NW Forestlands Using High Performance LIDAR. In: Proc. 23rd ESRI international user conference, pp. 135–147 (2003)
Ledoux, H., Gold, C.: Interpolation as A Tool for the Modeling of 3D Geoscientific Datasets. In: Proc. 4th ISPRS Workshop on Dynamic & Multi-dimensional GIS, pp. 79–84 (2005)
Barber, C.B., Dobkin, D.P., Huhdanpaa, H.T.: The Quickhull Algorithm for Convex Hulls. ACM Transactions on Mathematical Software 22(4), 469–483 (1996)
Bowyer, A.: Computing Dirichlet tessellations. The Computer Journal 24, 162–166 (1981)
Watson, D.F.: Computing the n-dimensional Delaunay tessellation with application to Voronoi polytopes. The Computer Journal 24, 167–172 (1981)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Luo, Y., Gavrilova, M.L. (2006). 3D Building Reconstruction from LIDAR Data. In: Gavrilova, M., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751540_46
Download citation
DOI: https://doi.org/10.1007/11751540_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34070-6
Online ISBN: 978-3-540-34071-3
eBook Packages: Computer ScienceComputer Science (R0)