A Training-Free Mesh Upsampling and Morphing Technique for 3D Face Rejuvenation

Mesh upsampling and morphing is a challenging
problem due to the irregularity and sparseness of the 3D
data. Unlike 2D grid of pixels, 3D points do not have any
regular structure and spatial order. In this paper, we present
an efficient mesh upsampling and morphing technique. The
proposed technique does not require training and does not rely
on any particular upsampling model. The key idea is to select and
process each mesh triangle based on a heuristic criteria to define
the 3D coordinate of a new point. An interactive mesh morphing
technique is also introduced to test the effectiveness of the mesh
upsampling algorithm. We perform quantitative and qualitative
analysis to evaluate the performance of our proposed technique.
Our empirical results show that our upsampled points have better
uniformity and are located closer to the underlying surfaces.
The computational time analysis demonstrates that the proposed
technique is very efficient. The average mesh upsampling time
is only 2.11sec which makes the proposed technique suitable for
real time applications. To further demonstrate the effectiveness
of our proposed technique, we evaluate it for a novel task of
facial rejuvenation prediction and report our preliminary results
in this paper.