چکیده (انگلیسی):

In this study, we propose a new method for indexing and retrieval of 3D models in large databases based on
binary images extracted from the 3D object called “level cut” LC. These cuts are obtained by the intersection of
the set of the plans with the 3D object. A set of equidistant parallel plans generates by the intersection with the 3D
object a set of cuts that used to indexing the 3D model. We are based on these cuts to describe the 3D object by
using the vectors descriptors based on these cuts. To validate our descriptor we extract a test database from the
NTU base. The robustness of our descriptor is well demonstrated by the comparison with the two will known
descriptors, the 3D Zernike descriptor and the 3D invariant moment’s descriptor. The topological problem of the
external surfaces that representing the 3D object has been confronted, that shows the superiority of the cut
method, because it is keeping the external surfaces details of the 3D object during the cutting step.