Nokta bulutlarının çok yönlü ortografik izdüşümlerinden geri çatmalarının elde edilmesi

A method to reconstruct 3D point clouds using multi-view orthographic projections isexamined. Point clouds are generated by means of a stochastic process. This stochasticprocess is designed to generate point clouds that mimic microcalcification formation in breasttissue. Point clouds are generated using a Gibbs sampler algorithm. Orthographic projectionsof point clouds from any desired orientation are generated. Volumetric intersection method isemployed to perform the reconstruction from these orthographic projections. Thereconstruction may yield erroneous reconstructed points. The types of these erroneous pointsare analyzed along with their causes and a performance measure based on linear combinationis devised. Experiments have been designed to investigate the effect of the number ofprojections and the number of points to the performance of reconstruction. Increasing thenumber of projections and decreasing the number of points resulted in better reconstructionsthat are more similar to the original point clouds. However, it is observed that reconstructionsdo not improve considerably upon increasing the number of projections after some number.This method of reconstruction serves well to find locations of original points.Keywords: 3D reconstruction, visual hull, shape from silhouettes, volumetric intersection,point clouds, Gibbs sampler, orthographic projection