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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004 
ACKNOWLEDGE 
Credits go to Claus Brenner from the institute of cartography 
and geoinformatics (IKG), University of Hannover, Germany 
for providing the data sets. 
REFERENCES 
Besl, P.J., Mc Kay, N.D., 1992. A method for registration of 3- 
D shapes. In: /EEE Transactions on Pattern Analysis and 
Machine Intelligence, Vol. 14 (2), pp. 239-256. 
Chen, C-S., Hung, Y-P., Cheng, J-B., 1999. RANSAC-based 
DARCES: A New Approach to Fast Automatic Registration of 
Partially Overlapping Range Images. In: /EEE Transactions on 
Pattern Analysis and Machine Intelligence, Vol. 21 (11), pp. 
1229-1234. 
Fischler, M., Bolles, R., 1981: Random sample consensus: A 
paradigm for model fitting with applications to image analysis 
and automated cartography. Communication ACM, 24(6): pp. 
381-395. 
Gühring, J., 2001. Reliable 3D surface acquisition, registration 
and validation using statistical error models. In: International 
Conference on Recent Advances in 3-D Digital Imaging and 
Modelling, Quebec City, Canada, pp. 224-231. 
Gühring, J., 2002. 3D-Erfassung und Objektrekonstruktion 
mittels Streifenprojektion. Dissertation DGK, Reihe C, Heft Nr. 
560, München. 
Heipke, C., 1992: A global approach for least-squares image 
matching and surface reconstruction in object space. PE&RS 
(58) 3, pp. 317-323. 
Huber, D.F., Hebert, M., 2001. Fully automatic registration of 
multiple 3D data sets. In: /EEE Computer Society Workshop on 
Computer Vision Beyond the Visible Spectrum. 
Johnson, A., Kang, S., 1997: Registration and Integration of 
Textured 3-D Data. In: /nternational Conference on Recent 
Advances in 3-D Digital Imaging and Modelling, pp. 234 - 241. 
Lavallee, S., Szeliski, R., 1995. Recovering the position and 
orientation of free-form objects from image contours using 3d 
distance maps. In: /EEE Transactions on Pattern Analysis and 
Machine Intelligence, 17(4): pp. 378-390. 
Lowe, D.G., 1999. Object recognition from local scale-invariant 
features. /nternational Conference on Computer Vision, pp. 
1150-1157, Corfu, Greece. 
Luck, J., Little, C., Hoff, W, 2000. Registration of range data 
using a hybrid simulated annealing and iterative closest point 
algorithm. Proc. Of IEEE International Conference on Robotics 
and Automation, San Francisco. 
Luhmann, Th., 2000. Nahbereichsphotogrammetrie. Herbert 
Wichmann Verlag, Heidelberg. 
Neugebauer, P.J., 1997. Reconstruction of real-world objects 
Và simultaneous registration and robust combination of 
multiple range images. In: International Journal of Shape 
Modeling, Vol. 3 (1&2), pp. 71-90. 
M. Pollefeys, R. Koch, M. Vergauwen, L. Van Gool, 2000. 
Automated reconstruction of 3D scenes from sequences of 
images, In: /SPRS Journal Of Photogrammetry And Remote 
Sensing (55) 4 (2000) pp. 251-267. 
Press, W.H., Teukolsky, S.A., Vetterling, W.T., Flannery, B.P, 
1992. Numerical Recipes - The Art of Scientific Computing 2. 
ed., Cambridge University Press. 
Riegl, 2004. Homepage of the RIEGL Laser Measurement 
Systems GmbH. http://www.riegl.co.at/, (accessed 04. Feb. 
2004). 
Rusinkiewicz, S., Levoy, M., 2001. Efficient variants of the ICP 
algorithm. Proceedings of the Third Intl. Conf. On 3D Digital 
Imaging and Modeling, pp. 145-152. 
Smith, S.M., Brady, J.M., 1997. SUSAN - a new approach to 
low level image processing. International Journal of Computer 
Vision, 23(1), pp. 45-78. 
Van Gool, L., Tuytelaars, T., Ferrari, V., Strecha, C., Vanden 
Wyngaerd, J., and Vergauwen, M., 2002. 3D Modeling and 
Registration under Wide Baseline Conditions. In: Proc. ISPRS 
Symposium Photogrammetric Computer Vision, pp. 3-14. 
Weisensee, M., 1992. Modelle und Algorithmen für das 
Facetten-Stereosehen. Dissertation. DGK, Reihe C, Heft Nr. 
374, München. 
Weisensee, M., Wendt, A., 2003. Registration and integration 
of point clouds using intensity information. In: Optical 3-D 
Measurement Techniques VI, pp. 290-297, Zurich.