Abstract:
Surface reconstruction is needed for almost all
modeling and visualization applications, but
unfortunately 3D data from a passive vision system
are often insufficient for a traditional surface
reconstruction technique from 2D images. In this
paper, we develop a method for surface
reconstruction from 3D data set. This gives a more
robust approach than existing methods using only
pure 2D information. Our method associates 3D
Delaunay triangulation data structure with the
geometric convection algorithm. Moreover, we also
use the 3D Voronoi Diagram for reconstructing the
surface. Given a good program for this fundamental
subroutine, the algorithm is quite easy to simple.
Our method may also be used to simplify shapes by
removing small features which would require an
excessive number of elements to preserve them in
the output mesh. In our experiment, a tsubo(pot) 3D
data set is used.
