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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part Bib. Beijing 2008
Figure.8 Extracted lines in adjacent images and reconstructed
3D lines compared with reconstructed 3D points.
4. CONCLUSION AND EXTENDED WORK
In this paper, we described robust points matching algorithm
with RAN SAC estimator, and compared two methods of line
matching in a complex man-made environment. Through
comparion, we conclude that, differential evolution is a global
optimization method and it tolerates complex man-made scene
which usually has a mass of noise. To represent reconstructed
model with planes, further work includes clustering
reconstructed 3D lines into planes and evaluating model
parameters.
REFERENCES
Baillard, C., Schmid, C., Zisserman, A., Fitzgibbon,A., 1999.
Automatic line matching and 3D reconstruction of buildings
from multiple views. Proc. ISPRS Conference on Automatic
Extraction of GIS Objects from Digital Imagery, 32(PART 3-
2W5), pp.69-80.
Baillard, C. and Zisserman, A., 2000. A plane-sweep strategy
for the 3d reconstruction of building from multiple images.
ISPRS Journal of Photogrammetry and Remote Sensing, 33(B2),
pp. 56-62.
Bartoli, A., 2007. A random sampling strategy for piecewise
planar scene segmentation. Computer Vision and Image
Understanding, 105(1), pp. 42-59.
Cantzler, H., Fisher, R.B., 2002. Improving architectural 3D
reconstruction by plane and edge constraining. In Proc. of the
British Machine Vision Conf (BMVC ’02), Cardiff, U.K., pp.
43-52.
Fischler, M. A. and Bolles, R. C., 1981. Random sample
consensus: A paradigm for model fitting with applications to
image analysis and automated cartography. Communications of
the ACM, 24(6), pp.381—395.
Hartley, R. and Zisserman, A. 2000. Multiple view geometry in
computer vision, Cambridge University Press: Cambridge, UK.
Karimi Nejadasl, F., Gorte, B.G.H., 2008.Optimization based
image registration in the presence of moving objects.
International Calibration and Orientation Workshop,
Castelldefels.
Lowe, D. G., 2004. Distinctive Image Features from Scale-
Invariant Keypoints. International Journal of Computer Vision,
60(2)s pp. 91-110.
Marc Pollefeys, Luc Van Gool, Maarten Vergauwen, Frank
Verbiest, Kurt Comelis, Jan Tops, Reinhard Koch, 2004.
Visual Modeling with a Hand-Held Camera. International
Journal of Computer Vision, 59(3), pp.207-232.
Price, K. V., Stom, R. M. and Lampinen, J. A.,2005.
Differential Evolution: A Practical Approach to Global
Optimization. First edn, Springer.