Please use this identifier to cite or link to this item: http://hdl.handle.net/1880/46438
Title: HIDDEN OBJECT RECONSTRUCTION FROM ACOUSTIC SLICES
Authors: Parker, J.R.
Attia, E.N.
Keywords: Computer Science
Issue Date: 1-Oct-1996
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.
URI: http://hdl.handle.net/1880/46438
Appears in Collections:Parker, James

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