Open Access3D garment model reconstruction based on scattered point cloud
Author(s) -
Qiaoli Wang,
Zhongfeng Xu,
Yang Si
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1790/1/012090
Subject(s) - point cloud , delaunay triangulation , triangulation , computer science , process (computing) , grid , clothing , point (geometry) , cloud computing , computer vision , computer graphics (images) , surface (topology) , surface reconstruction , artificial intelligence , mesh generation , algorithm , engineering , mathematics , geometry , geography , archaeology , structural engineering , finite element method , operating system
We describe a method to quickly reconstruct 3D garment model. We first use a depth camera scanning device to quickly obtain 3D point cloud data on the surface of the clothing, pre-process the point cloud data. Then combining the region growth algorithm and Delaunay triangulation algorithm, we propose a surface reconstruction algorithm that takes undirected point clouds as input and generates interpolated surfaces in the form of triangulation to reconstruct the clothing model. We build this systematic 3D garment modeling program. Through our method we obtain a uniformly distributed grid, smooth patches, and also retain the original shape of the clothing point cloud. Our method increases the convenience of garment modelling, reduces the manpower and time for garment modeling, helps expand the garment database of the virtual fitting system, and provides ideas for garment electronic sales.