Abstract
This paper presents a complete modeling system that extracts complex building structures with irregular shapes and surfaces. Our modeling approach is based on the use of airborne LiDAR which offers a fast and effective way to acquire models for a large urban environment. To verify and refine the reconstructed ragged model, we present a primitive-based model refinement approach that requires minor user assistance. Given the limited user input, the system automatically segments the building boundary, does the model refinement, and assembles the complete building model. By adapting a set of appropriate geometric primitives and fitting strategies, the system can model a range of complex buildings with irregular shapes. We demonstrate this system’s ability to model a variety of complex buildings rapidly and accurately from LiDAR data of the entire USC campus.
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References
W. Ribarsky, T. Wasilewski, and N. Faust, “From Urban Terrain Models to Visible Cities”, IEEE Computer Graphics & Applications, Vol. 22, No. 4, 2002.
S. C. Lee, S. K. Jung and R. Nevatia, “Automatic Integration of Façade Textures into 3D Building Modelings with Projective Geometry Based Line Clustering”, EUROGRAPHI’02, 2002.
Zhao, B. and Trinder, J., “Integrated Approach Based Automatic Building Extraction”, 19th ISPRS Congress, Book 3B, pp. 1026–1032, Amsterdam.
Seresht, M. and Azizi, A., “Automatic Building Recognition from Digital Aerial Images”, 19th ISPRS Congress, Book 3B, pp. 792–798, Amsterdam.
Coorg, S. and S. Teller, “Extracting Textured Vertical Facades from Controlled Close-Range Imagery”, CVPR, 1999, pp. 625–632.
A. Elaksher, J. Bethel, “Building Extraction Using Lidar Data”, ASPRS-ACSM Annual Conference and FIG XXII Congress, April 22–26, 2002.
Haala, N., C. Brenner, “Generation of 3D city models from airborne laser scanning data”, the 3rd EARSEL Workshop on LIDAR Remote Sensing on Land and Sea, Tallinn, 105–112, 1997
A. Fruh and A. Zakhor, “3D Model Generation for Cites Using Aerial Photographs and Ground Level Laser Scans”, IEEE Conference on Computer Vision and Pattern Recognition, 2001.
Suya Y., Ulrich N., Automatic Object Modeling for 3D virtual Environment, Proceedings of NMBIA, pp. 21–26, 1998.
William, H., Saul, A., William, T., and Brian, P., “Numerical Recipes in C”, Cambridge University Press, 1992.
Foley, J. D., Van Dam, A., Feiner, S. K. and Hughes, J. F., “Computer Graphics: principles and practice”, Addison-Wesley, Reading, Massachusetts, 1990.
Richard E.W. and Rafael C.G., “Digital Image Processing”, Prentice Hall PTR, 2nd Edition.
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© 2003 Springer-Verlag Berlin Heidelberg
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You, S., Hu, J., Neumann, U., Fox, P. (2003). Urban Site Modeling from LiDAR. In: Kumar, V., Gavrilova, M.L., Tan, C.J.K., L’Ecuyer, P. (eds) Computational Science and Its Applications — ICCSA 2003. ICCSA 2003. Lecture Notes in Computer Science, vol 2669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44842-X_59
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DOI: https://doi.org/10.1007/3-540-44842-X_59
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