The introduction of information technology into archaeological work has in the 21st
century influenced The London Charter and The Seville Principles in such a way that they
recommended 3D modeling and digitization as an international standard for archaeological documentation. 3D models are permanent carriers of a wealth of information about
an object that archaeologists can investigate, evaluate, and compare without damaging or
destroying the objects. Most 3D models in archeology are made with photogrammetry,
structured light recorders or with laser recorders. This work hypothetically assumes that
surface 3D models do not provide the necessary information for a comprehensive treatment
and evaluation of archaeological remains. Only a volumetric 3D model can provide more
complete information. This can be non-invasively reconstructed from microtomographic
images. The master’s thesis describes the design of two iterative algorithms for the reconstruction of volumetric 3D models from two-dimensional microtomographic images. The
algorithms are developed using the MatLab numerical analysis software package. They
are adapted to the specific archaeological objectives of the research (deformation and volumetric analysis; 4D analysis; identification and microlocation of damage, deformations,
cracks and fractures). The point cloud and the triangulation network of the volumetric
3D model contains a large amount of information that qualitatively complements the information of the surface 3D model and optimizes the archaeological documentary record.
Testing of the algorithms on selected archaeological objects confirmed their usefulness for
the comprehensive evaluation of archaeological objects. Algorithms can also be a useful
tool in the process of selecting more appropriate methods and techniques for the conser-vation and restoration of cultural heritage remains.
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