.png){kind=icon}
返回
A subdivision-based framework for shape reconstruction
.png){kind=icon}
PRE
AI
DOI：10.1007/s11042-023-15398-7.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Shape reconstruction from 3D point clouds is one of the most important topic in the field of computer graphics. In this paper, we propose a subdivision-based framework for this topic. The framework includes two parts: distance field optimization and mesh generation. The first part optimizes a point cloud into an approximately isotropic one based on a subdivision structure. The second part is to generate a triangular mesh from the optimized point cloud. The mesh is regarded as the result of shape reconstruction. The advantages of our method includes accurate geometric consistency, improved mesh quality, controllable point number, and fast speed. Experiments indicate that our method has good performance for shape reconstruction (compare to the state-of-the-art, our method achieves five and six times improvement in Hausdorff distance-based measurement and density estimation). The executable file is available: (https://github.com/vvvwo/Parallel-Structure-ShapeReconstruction)
Keyword:
Shape reconstruction
Mesh reconstruction
Distance field optimisation
期刊
IF:
3
论文数:
2.0W
被引数:
3.2W
机构
引用论文
PWE-071 Interobserver agreement in assessment of rutgeerts' score of endoscopic recurrence of ileal crohn–s disease.png)
Gut
GutIF0
PREAI
分享收藏
Polar crystals in imines of 4-hydroxybenzohydrazide: a comparison between racemic and enantiomorphic crystalsCrystEngComm
CrystEngCommIF0
PREAI
分享收藏
查看更多内容