We present a robust Global Matching technique focused on 3D mapping applications using laser range-finders. Our Tool works under the assumption that places can be recognized by analyzing the projection of the observed points along the gravity direction. Relative poses between pairs of 3D point clouds are estimated by aligning their 2D projective representations and benefiting from the corresponding dimensional reduction.