Rapid and Accurate Surface Mesh Reconstruction From Datasets Based on NN

摘要

We consider the problem of reconstructing the 3D coordinates of a moving point seen from a monocular moving camera, i.e., to reconstruct moving objects from line-of-sight measurements only. In this paper, a new approach for the automatic reconstruction from an unorganized points is presented, where first an artificial neural network is used to order the data and form a grid of control vertices with triangle topology. The new approach makes possible the construction of adapted geometric meshes for surfaces by specifying the element sizes (and directions) so as to bound the error below a user-given threshold value .The experimental results show that our methods are accurate and simple to implement.