Mapa de Saliência para Nuvem de Pontos usando Projeções

Algorithms for creating saliency maps are well established for images, even though there is no literature on such methods for point clouds. We use orthographic projections in 2D planes which are subject to well established saliency detection algorithms to create a 3D saliency map. The results of each saliency map are projected to the 3D voxels and the results of the many projections are used to generate a 3D saliency map. As a future work it is proposed to use the saliency map to assist in the compression of point cloud.