HIDDEN OBJECT RECONSTRUCTION FROM ACOUSTIC SLICES
Date
1996-10-01
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Abstract
A method for reconstructing 3D models from cross-sectional seismic
signals, which could be used in visualizing underground objects, is
presented. The new algorithm starts with preprocessing the sonar images
by thresholding, segmenting, contour finding, point sampling and then
triangulating. The main objective of this algorithm was to produce the
smoothest possible model for branching bodies taking into consideration that
the slices might be far apart in reality and consequently a novel
branching/interpolation technique was used that proved superior to existing
methods and at the same time did not need involvement of the user at any
stage. Seismic simulations have been used to test the algorithm and we
succeeded in reconstructing the tomb of Tut Ankh Amen (An Egyptian Pharaoh)
from simulated slices.
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Computer Science