After the surface generation, a textured model was produced, as
shown in Figure 19.
E.. Sr d Teh. eH
Figure 19: 3D model of the empty niche of the Small Buddha,
visualized in shaded (left) and textured mode (centre and right).
S. CONCLUSIONS
In this work we have shown the modeling of the whole cultural
heritage site of Bamiyan, Afghanistan. We have used different
types of images and produced a detailed terrain model as well
as 3D models of the two empty niches and the rock cliff where
the two Buddha statues once stood. The 3D reconstruction of
the Small Buddha statue is currently underway.
The satellite images were the only possibility for the mapping
of the heritage area because of their instant availability and high
resolution.
Manual measurements were necessary to reconstruct all those
small features that an automatic procedure would miss. The big
operational problem was actually the 3D surface modeling of
the cliff and the Buddhas. We are still not satisfied with
commercial modeling software and we spent more time on
modeling than on measurement. In order to have a smooth
production process one should adapt the measurement
procedure to the capabilities of the 3D modeller.
The photo-realistic 3D digital models of the entire Bamiyan
area and the detailed view of the cliff with and without the
standing Buddhas will be used for visualization and animation.
We also can now compute the volume of the material that was
destroyed during the demolition. This will give clear hints as to
whether the leftovers will suffice to be used for physical
reconstruction. Results from these considerations will help to
decide about the best reconstruction.
In addition, the DTM will now be imported into a GIS software
to create a complete information system of the protected area,
which may serve for technical, scientific and touristic purposes
in the future.
ACKNOWLEDGEMENT
The authors would like to thank Daniela Poli for her help in the
satellite image acquisition, Spot Image for providing the HRS
images at special conditions and Space Imaging for providing a
IKONOS scene for free. We also appreciate the contributions of
Natalia Vassilieva, Yuguang Li and Xiaoyun Fu in terms of
doing photogrammetric measurements.
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part BS. Istanbul 2004
REFERENCES
Gruen, A., 1985: Adaptive Least Squares Correlation: A
powerful Image Matching Technique. South Africa Journal of
Photogrammetry, Remote Sensing and Cartography, 14 (3), pp.
175-187.
Gruen, A. Remondino, F. Zhang, L., 2002: Reconstruction of
the Great Buddha of Bamiyan, Afghanistan
International Archives of Photogrammetry and Remote Sensing,
Vol. XXXIV, part 5, pp. 363-368, Corfu, Greece.
Gruen, A. Remondino, F. Zhang, L., 2003: Image-based
Automatic Reconstruction of the Great Buddha of Bamiyan,
Afghanistan. Computer "Vision and Pattern Recognition
(CVPR) Workshop on ‘Application of Computer Vision in
Archaeology', Madison, USA (on CD-ROM).
ISIS: httpz//medias.obs-mip.fr/isis/?choix lang-English, April,
2004.
Poli, D., Zhang, L., Gruen, A., 2004: SPOT-5/HRS Stereo
Images Orientation and Automated DSM Generation. Int.
Archives of Photogrammetry, Remote Sensing and Spatial
Information Sciences, Vol.X XXV-Bl, in press.
Raindrop: http://www.geomagic.com, April, 2004.
Space Imaging, Inc:
2004.
http://www.spaceimaging.com, April,
Spot Image, http://www.spotimage.fr, April 2004.
VirtuoZo NT, 1999: Version 3.1 Manual, Supresoft Inc.
Zhang, L., Gruen, A., 2004: DSM Generation from Linear
Array lmagery. Int. Archives of Photogrammetry, Remote
Sensing and Spatial Information Sciences, Vol.XXXV-B3, in
press.
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