- 119 -
non contact active sensing (no interference with excavation
activities and no need to signalise the object);
immediate results and easy measurements on the model.
Laser scanning peculiar characteristics are also the practicability
of object replication (mould), and the support for virtual
exploration and study via Internet, with a different approach in
respect to photogrammetry and visual photographic reality
(Bitelli et al., 2001).
In applications like those shown, laser scan could be a good
solution to detect and model ‘out of vertical’ walls, providing a
valuable support for structural monitoring and intervention.
On the other hand, archaeologists sometimes require from the
survey a traditional product, in the form of a vector drawing
with the main features well individuated, i.e. subordinate to a
preliminary subjective filtering; the derivation of such a result
from the laser model requires very powerful software and high
skills where complex and not elementary geometrical shapes are
involved, as is the case for numerous archaeological
applications.
The choice of appropriate software is a crucial point for data
processing, where strategies for data decimation and filtering,
merging of cloud datasets and meshes, TIN tessellation, and
finally generation of a polygonal model can produce quite
different results (Fangi et al, 2001).
Photographic richness provided by photogrammetric image
products is surely of high importance for archaeologists and
architects, and true-colour imagery generated as a product of a
laser scan, when available, is sometimes inadequate in quality
and radiometric characteristics.
The integration of the two techniques, on the other hand, could
provide very interesting results, starting from simple
combinations: for instance, a stereoscopic model could permit
the editing and integration of a incomplete laser acquisition (fig.
12), or the laser data could supply the coordinates for exterior
orientation of photogrammetric images.
Fig. 12 - House of the Big Fountain: (a) effect of shadowing
and edges on laser data; (b) the errors are clearly
visible and editable by superimposing the point cloud
data on the photogrammetric stereoscopic model.
As depicted by other experiences, the use of laser derived DSM
as a support for digital orthophoto generation do not directly
provides satisfying results (see for instance figure 13 compared
with figure 5), depending also on the object shape, data density,
etc.; it requires at least an appropriate editing of the 3D model.
Furthermore, complex shapes require multiple scans and an
accurate survey planning.
In this context, photogrammetry could play a relevant role to
complement laser surveys, in order to detect or correct
erroneous or missing parts of the datasets and to describe
discontinuities by means of breaklines and points.
3D texture mapping of the clouds of points can be performed by
using calibrated instruments and cameras (Kern, 2001), and the
combination of laser scanning and photogrammetric systems
could produce a complete object modelling, with highly
accurate geometric and colour characteristics.
In the next future the integration of these techniques will play
therefore a fundamental role in surveying for cultural heritage
recording.
Fig. 13 - House of the Small Fountain: particular of orthophoto
obtained by using surface model provided by laser
scanning.
4. REFERENCES
Baratin L., Bitelli G., Unguendoli M., Zanutta A., 2000. Digital
orthophoto as a tool for the restoration of monuments. In:
International Archives of Photogrammetry and Remote
Sensing, Vol. XXXIII, Part B5, 62-69, Amsterdam.
Beraldin J.A., Blais F., Coumoyer L., Rioux M., El-Hakim
S.H., Rodella R., Bernier F., Harrison M., 1999. 3D Digital
Imaging and Modeling. Proc. 2 nd Int. Conf. on 3D digital
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Bitelli G., Tini M.A., Vittuari L., 2001. Low-cost systems for
metrical documentation and virtual reality representation of
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Bitelli G., Capra A., Zanutta A., 2001. Photogrammetric
Surveying of Nymphaea in Pompei. Proceedings CIPA
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Böhler, W., Heinz, G., Marbs, A., 2001. The potential of non-
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Bomaz L., Lingua A., Rinaudo F., 2002. A new software for the
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Fangi G., Fiori F., Gagliardini G., Malinvemi E.S., 2001. Fast
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