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 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.