A semisupervised approach to space carving

摘要: In this paper, we present a semi supervised approach to space carving. We do by casting the recovery of volumetric data from multiple views into an evidence combining setting. The method presented here is statistical in nature and employs, as starting point, manually obtained contour. By making use user-provided information, learn prior distribution that then used compute probability voxel being carved. This setting allows us make background pixel information. As result, our combines advantages shape-from-silhouette techniques carving approaches. provide quantitative results illustrate utility on real-world imagery.