Filling holes in digitized 3D meshes using image restoration algorithms

In this work a method for filling holes in 3D meshes based on a 2D image restoration algorithm is expounded. To do that, data must be converted to a suitable input format, a 3D to 2D transformation is executed by projecting the 3D surface onto a grid. Therefore, the proposed algorithm starts by a first stage of holes identification. Then, a meaningful mesh portion is choosen for each hole. Afterward, the suitable plane of projection must be computed to get the range image of the mesh portion. Later, it is applied the restauration image algorithm to the range image. Finally, an inverse transformation 2D to 3D is performed and the new produced data are integrated with the initial mesh. The result is a robust algorithm which works correctly with several kind of holes and for different sizes of them.