Shape from Silhouette: Image Pixels for Marching Cubes

In this paper, we propose to use image pixels for geometry reconstruction with a shape from silhouette approach. We aim at estimating shape and normal for the surface of a single object seen through calibrated images. From the voxelbased shape obtained with the algorithm proposed by R. Szeliski, our main contribution concerns the use of image pixels together with marching cubes for constructing a triangular mesh. We also provide a mean for estimating a normal inside each voxel with two different methods: (i) using marching cubes triangles and (ii) using only voxels. As seen in the results, our method proves accurate even for real objects acquired with a usual camera and an inexpensive acquisition system.