Full text: Proceedings (Part B3b-2)

The International Archives oj the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B3b. Beijing 2008 
685 
floating in the object space. This paper introduces one kind of 
its utilization for reconstructing models from different source 
data. Plan parameters are fit from topographic maps and height 
parameters are fit from LiDAR data and DEM. Aerial Photos 
are also used for examining and modifying. According to our 
case study of Taipei City, the procedure goes smoother and 
faster with the increase of operating experiences. Here are some 
characteristics of the proposed approach: 
1. For most of the normal buildings, floating model does 
increase efficiency than point-by-point measurement. 
2. The labour-consuming precise measurement is carried out 
by computer while the operator only needs to select 
model and approximately fit it. 
3. The inner constraints guarantees the geometric nature 
unchanged after reconstructing. 
4. It is possible to reconstruct the whole building even if a 
part of it is occluded. 
Brenner, C., 2000. Towards Fully Automatic Generation of 
City Models. In: The International Archives of the 
Photogrammetry, Remote Sensing and Spatial Information 
Sciences, Amsterdam, the Netherlands, Vol. XXXIII, Part B3, 
pp. 85-92. 
Das, S., Bhanu, B. and Ho, C.-C., 1997. Generic Object 
Recognition Using CAD-Based Multiple Representations, in: 
IEEE CAD-Based Vision Workshop, pp. 202-209. 
Englert, R. and Gülch, E., 1996. One-eye Stereo System for the 
Acquisition of Complex 3D Building Descriptions. GIS, No. 4, 
PP- 1-11- 
Ermes, P., 2000. Constraints in CAD Models for Reverse 
Engineering Using Photogrammetry. In: The International 
Archives of the Photogrammetry, Remote Sensing and Spatial 
Information Sciences, Amsterdam, the Netherlands, Vol. 
XXXIII, Part B5/1, pp. 215-221. 
However, we also find some shortcomings of the model-based 
approach: 
1. A building could never be reconstructed correctly if there 
is no adequate primitive model. 
2. The decomposition of building needs practice and 
experience. 
3. It is difficult to implement the subtraction operation 
between two models. 
4. For those very complicated buildings, model-based 
approach will cost more time than data-based approach. 
Therefore, we suggest two further research objectives: (1) de 
signing more primitive models such as curvy plane. (2) analyz 
ing the topology and implement the Boolean operator among 
3D models. 
REFERENCES 
Griin, A., 2000. Semi-automated Approaches to Site Recording 
and Modeling. In: The International Archives of the 
Photogrammetry, Remote Sensing and Spatial Information 
Sciences, Amsterdam, the Netherlands, Vol. XXXIII, Part B5, 
pp. 309-318. 
Lang, F. and Forstner, W., 1996. 3D-City Modeling with a 
Digital One-eye Stereo System, In: The International Archives 
of the Photogrammetry, Remote Sensing and Spatial 
Information Sciences, Vienna, Austria, Vol. XXXI, pp. 415-420. 
Sester, M. and Forstner, W., 1989. Object Location Based on 
Uncertain Models, Mustererkennung 1989. Informatik 
Fachberichte 219. Springer Verlag, pp. 457-464. 
Tseng, Y.-H. and Wang, S., 2003. Semiautomated Building 
Extraction Based on CSG Model-Image Fitting. 
Photogrammetric Engineering & Remote Sensing, 69(2), pp. 
171-180. 
Ameri, B., 2000. Feature Based Model Verification (FBMV): A 
New Concept for Hypothesis Validation in Building 
Reconstruction. In: The International Archives of the 
Photogrammetry, Remote Sensing and Spatial Information 
Sciences, Amsterdam, the Netherlands, Vol. XXXIII, Part B3/1, 
pp. 24-35. 
Bhanu, B., Dudgeon, D. E., Zelnio, E. G., Rosenfeld, A., 
Casasent, D., and Reed, I. S., 1997. Guest Editorial 
Introduction to the Special Issue on Automatic Target Detection 
and Recognition. IEEE Transactions on Image Processing, 6(1), 
pp. 1-6. 
Böhm, 1, Brenner, C., Gühring, J. and Fritsch, D., 2000. 
Automated Extraction of Features from CAD Models for 3D 
Object Recognition. In: The International Archives of the 
Photogrammetry, Remote Sensing and Spatial Information 
Sciences, Amsterdam, the Netherlands, Vol. XXXIII, Part B5, 
pp. 76-83. 
Braun, C., Kolbe, T. H., Lang, F., Schickler, W., Steinhage, V., 
Cremers, A. B., Forstner, W., and Plümer, L., 1995. Models for 
Photogrammetric Building Reconstruction. Computers & 
Graphics, 19(1), pp. 109-118. 
Brenner, C., 1999. Interactive Modelling Tools for 3D Building 
Reconstruction. In: Photogrammetric Week '99. Wichmann, 
Stuttgart, pp. 23-34. 
van den Heuvel, F. A., 2000. Trends in CAD-based 
Photogrammetric Measurement. In: The International Archives 
of the Photogrammetry, Remote Sensing and Spatial 
Information Sciences, Amsterdam, the Netherlands, Vol. 
XXXIII, Part B5, pp. 852-863. 
Vosselman, G. and Veldhuis, H., 1999. Mapping by Dragging 
and Fitting of Wire-Frame Models. Photogrammetric 
Engineering & Remote Sensing, 65(7), pp. 769-776. 
Wang, S. and Tseng, Y.-H., 2004. Least-squares Model-image 
Fitting for Building Extraction from Aerial Images. Asian Jour 
nal of Geoinformatics, 4(4), pp. 3-12.
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.