Scarica gli atti - Gruppo del Colore

Fig. 5 – Upper left, upper right, lower left: examples of scenes that can raise issues when
attempting automatic mosaicking. Scarcity of distinctive details (upper left), large zones of
almost-uniform color (sky, upper right), and wrong perspective (lower left) can all pose
problems to automatic image understanding. Lower left: research is often directed towards
panorama-like (horizontal) mosaicking, and consequent available software implementation
may perform poorly in bi-dimensional mosaicking.
6. Applications and future work
Based on the encouraging results obtained so far, further research is being carried
out by the authors to expand the capabilities of the acquisition system introduced.
In particular, one of the main goals is that of integrating color data with shape data.
On one hand, shape data are sometimes needed even to obtain images of the
artifacts involved. For instance, in the case of a book it may be impossible to open
pages wide because of the risk of damaging the binding; pages will then be partly
bent when they are acquired, resulting in a geometric distortion of the page
content. Some technique will therefore have to be applied to measure or estimate
the bending and correct the acquired images to discount its effect. Similar
(although often greater) difficulties must be overcome when acquiring frescoes and
paintings which were made on markedly non planar walls, such as churches vaults;
if a ‘linear representation’ is wanted, which is, a representation in which the
paintings are viewed as if the walls were ‘unfolded’ onto a plane, then the effect of
the wall surface curvature must be corrected.
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