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.
@article{arxiv.2307.16205,
title = {Mesh Density Adaptation for Template-based Shape Reconstruction},
author = {Yucheol Jung and Hyomin Kim and Gyeongha Hwang and Seung-Hwan Baek and Seungyong Lee},
journal= {arXiv preprint arXiv:2307.16205},
year = {2023}
}
Comments
To appear at SIGGRAPH 2023. Jung and Kim shares equal contribution. For codes, see https://github.com/ycjungSubhuman/density-adaptation/