Rapid and Adaptive Quadrilateral Mesh Generation Algorithm from Dense Point Cloud

For that quadrilateral meshes can be directly generate from dense point cloud instead of remeshing based on triangular meshes,this paper proposes a novel method which is able to achieve quadrilateral meshes straightly from dense point cloud.Firstly,this paper implements the point cloud voxelization so that the indices between voxels and points are established,and refines voxels to improve the performance of mapping.Then,the quadrilateral mesh model is attained by mapping between vertices of the external voxel surface and regularizing the quad mesh.At last,Stanford datasets are tested and showed by MeshLab,and the results demonstrate that the algorithm can immediately generate quadrilateral mesh model based on the dense point cloud,and adaptively change the efficiency of algorithm and the size quad meshes by adjusting the size of voxels.