Full text: Technical Commission III (B3)

  
In Figure 3, roof points are segmented in plane patches for four 
houses. In Figure 3a, the segmentation of a hipped roof is 
represented. Figure 3b shows the segmentation of roof points 
for a gabled roof, whereas the blue and cyan points indicate the 
covers of two roof windows. Figure 3c and 3d shows the results 
of the segmentation for a cross gabled roof and a roof with two 
dormers respectively. The roofs from Figure 3a to 3d become 
more and more complicated. Nevertheless, the proposed 
algorithm can cluster points to their corresponding plane 
patches. 
In the following, experimental results are shown for segmenting 
roof points and extracting polygon for each roof plane patch by 
taking three houses as examples. 
  
Figure.4. Segmentation of roof points for a simple gabled roof 
      
    
  
     
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Figure.6. Segmentation of roof points for a hipped roof with 
multi-ridges 
In Figure 4, 5 and 6, the extracted polygons can represent their 
roof structures very well. However, the situation seems totally 
differently for the three houses in Figure 3 (Figure 3b, 3c and 
3d), because the main polygons of these roofs are too 
complicated to be extracted exactly using the current algorithm. 
So far, the topologies among roof polygons are not yet adjusted, 
neither their corresponding geometries near the sharing sides of 
polygons; therefore, there are gaps among roof polygons. This 
will be improved in the nearest future. 
100 
Acknowledgements 
The presented work is partly supported by the NSFC (National 
Natural Science Foundation of China) project No: 41101443. 
References 
Alharthy A. and Bethel J. 2002. Heuristic filtering and 3d 
feature extraction from lidar data. In PCV02, page A:29, 2002. 
Baillard, C., Zisserman, A., 1999, Automatic reconstruction of 
piecewise planar models from multiple views. Proceeding of 
IEEE Conference on Computer Vision and Pattern Recognition, 
Ft. Collins, CO, 23-25 June, pp. 559-565. 
Chen L. C., Teo T. A., Shao Y. C., Lai Y. C., Rau J. Y. 2004. 
Fusion of LIDAR data and optical imagery for building 
modeling. International Archives of Photogrammetry Remote 
Sensing and Spatial Information Sciences, 35(B2): 586.591 
Fischer A., Kolbe T.H., Lang F., Cremers A.B., Fórstner W., 
Plümer L., and Steinhage V. 1998. Extracting Buildings from 
Aerial Images Using Hierarchical Aggregation in 2D and 3D. In: 
Computer Vision and Image Understanding, Vol.72, no. 2, Nov. 
1998. 
Vosselman G. 1999. Building reconstruction using planar faces 
in very high density height data. In International Archives of 
Photogrammetry and Remote Sensing, pages 87-92. 
Hammoudi K. and Dornaika F. 2011. A Featureless Approach 
to 3D Polyhedral Building Modeling from Aerial Images. In: 
Sensors 2011, 11, pp. 228-259. 
Hebel M and Stilla U (2011) Simultaneous calibration of ALS 
systems and alignment of multiview LiDAR scans of urban 
areas. IEEE Transactions on Geoscience and Remote Sensing. 
[doi: 10.1 109/TGRS.2011.2171974] 
Hu J., You S., and Neumann U. 2003. Approaches to large- 
scale urban modeling. IEEE CG&A, 23(6):62-69, 2003. 
Jaynes C., Marengoni M., Hanson A., Riseman E., and 
H.Schultz. 1997. Knowledge-Directed Reconstruction from 
Multiple Aerial Images. In: Proceedings of ARPA Image 
Understanding Workshop, New Orleans, LA, Vol. II. Pp. 971- 
976. 
Kada M. 2007. Scale-dependent simplification of 3D building 
models based on cell decomposition and primitive instancing. 
In: S. Winter et al. (Eds.): COSIT 2007, LNCS 4736, Springer- 
Verlag Berlin Heidelberg. Pp.222-237. 
Kim, Z., Nevatia, R., 2004. Automatic description of complex 
buildings from multiple images. Computer Vision and Image 
Understanding 96 (1), 60-95. 
Lee, I; Schenk, T. Perceptual organization of 3d surface points. 
2002. In International Archives of Photogrammetry and Remote 
Sensing, Graz, Austria. 
Lin C., Huertas A., and Nevatia R. 1994. Detection of 
Buildings Using Perceptual Grouping and Shadows. In: 
Proceedings of CVPR, IEEE Computer Society Press, Los 
Alamitos, CA. Pp. 62-69. 
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