Voxel Occupancy with Viewing Line Inconsistency Analysis and Spatial Regularization

In this paper we review the main techniques for volume reconstruction from a set of views using Shape from Silhouette techniques and we propose a new method that adapts the inconsistencies analysis shown in (Landabaso et al., 2008) to the graph cuts framework (Snow et al., 2000) which allows the introduction of spatial regularization. For this aim we use a new viewing line based inconsistency analysis within a probabilistic framework. Our method adds robustness to errors by projecting back to the views the volume occupancy obtained from 2D foreground detections intersection, and analysing this projection. The final voxel occupancy of the scene is set following a maximum a posteriori (MAP) estimate. We have evaluated a sample of techniques and the new method proposed to have an objective measure of the robustness to errors in real environments.