Full text: Papers accepted on the basis of peer-reviewed full manuscripts (Part A)

In: Paparoditis N., Pierrot-Deseilligny M.. Mallet C.. Tournaire O. (Eds). 1APRS. Vol. XXXVIII. Part ЗА - Saint-Mandé, France. September 1-3, 2010 
6. CONCLUSION AND PERSPECTIVES 
Frueh, C., Sammon, R., Zahcor, A., 2004, Automated Texture Mapping 
of 3D City Models with Oblique Aerial Imagery. 3D Data Processing, 
Visualization and Transmission, 3DPVT 2004, pp. 396-403, 2004. 
Frueh, C., Jain, S. and Zakhor, A., 2005. “Data Processing Algorithms 
for Generating Textured 3D Building Facade Meshes from Laser Scans 
and Camera Images,” International Journal of Computer Vision, vol. 
61, Issue 2, p. 159-184, January 2005. 
Goulette, F., Nashashibi, F., Abuhadrous, I., Ammoun, S. and 
Laurgeau, C., 2007. An Integrated On-board Laser Range Sensing 
System for On-the-way City and Road Modeling. Revue française de 
photogrammétrie et de télédétection, vol. 185, p. 78. 
Gracias, N.. Mahoor, M., Negahdaripour. S. and Gleason. A., 2009, 
Fast Image Blending using Watersheds and Graph Cuts. Image and 
Vision Computing, Volume 27, Issue 5, pp. 597-607. 
Haala. N. and Böhm. J„ 2003, “A multi-sensor system for positioning 
in urban environments,” ISPRS Journal of Photogrammetry and 
Remote Sensing, vol. 58 (1-2), pp. 31-42, 2003 
The method presented in this paper is a major step towards a 
fully automatic system for texturing existing 3D building 
models. The terrestrial images are automatically corrected and 
merged into rectified façade textures. Special attention has been 
paid to occlusion management, and most occluding objects are 
removed from the final textures. The results show the feasibility 
of a fully automatic approach based on vehicle-based data. The 
resulting textured 3D models are realistic and can be navigated 
from the street level. In the future, the image merging stage will 
be improved, especially the inpainting technique. Importantly, a 
method for automatically registering the façade textures to the 
façade model is necessary in order to propose a robust and fully 
automated texturing system. 
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