Description:
Abstract—Recently, a 3D face recognition approach based on
geometric invariant signatures, has been proposed. The key idea
of the algorithm is a representation of the facial surface, invariant
to isometric deformations, such as those resulting from facial
expressions. One of the crucial stages in the construction of the
geometric invariants is the measurement of geodesic distances on
triangulated surfaces, carried out by fast marching on
triangulated domains (FMTD). Proposed here is a method, which
uses only the metric tensor of the surface for geodesic distance
computation. When combined with photometric stereo used for
facial surface acquisition, it allows constructing a bending-
invariant representation of the face without reconstructing the 3D
surface.
To Search:
File list (Check if you may need any files):
FACE3D Series.pdf
Download