Mesh Density Adaptation for Template-based Shape Reconstruction
Yucheol Jung Hyomin Kim Gyeongha Hwang Seung-Hwan Baek Seungyong Lee
In 3D shape reconstruction based on template mesh deformation, a
regularization, such as smoothness energy, is employed to guide the
reconstruction into a desirable direction. In this paper, we highlight an often
overlooked property in the regularization: the vertex density in the mesh.
Without careful control on the density, the reconstruction may suffer from
under-sampling of vertices near shape details. We propose a novel mesh density
adaptation method to resolve the under-sampling problem. Our mesh density
adaptation energy increases the density of vertices near complex structures via
deformation to help reconstruction of shape details. We demonstrate the
usability and performance of mesh density adaptation with two tasks, inverse
rendering and non-rigid surface registration. Our method produces more accurate
reconstruction results compared to the cases without mesh density adaptation.