Interactive Segmentation for Shape From Shading Over HR SAR Images

Franco Marchesoni-Acland, Marie d'Autume, Gabriele Facciolo, Carlo de Franchis, Jean-Michel Morel, Enric Meinhardt-Llopis

Abstract: Shape from shading (SfS) enables 3D reconstruction of stockpiles from a single image. However, this method requires proper boundary conditions to work properly. Obtaining such Dirichlet and Neumann conditions is equivalent to a segmentation of the heaps. To get a fast and accurate 3D reconstruction, we propose a simple and interactive segmentation method. SfS is then applied on 0.5-meter resolution Synthetic Aperture Radar (SAR) images with more precise boundary conditions. The results show that prior segmentation is preferable to no segmentation for the stockpiles volume estimation problem. Furthermore, we show that the proposed interactive segmentation method reduces the annotation time needed for such a prior segmentation