核心概念
Novel approach for LFS-aware surface reconstruction from unoriented 3D point clouds.
統計資料
Our approach achieves the smallest reconstruction errors for both the Chamfer and Hausdorff distance.
引述
"Our experiments demonstrate the robustness of our method to noise, outliers, and missing data."
"The added value of our approach is generating isotropic meshes directly from 3D point clouds with an LFS-aware density."