3D shape recovery based on tomography

The tomographic process is quite a novel tool for the 3D image reconstruction. In a reconstruction process, a sequence of photographic images is first captured around an object of interest. Filtered backprojection is repeatedly performed on each row in the digitized images, yielding a stack of cross-sectional images. For better visualization, a surface-rendering technique and a lighting model are implemented on the voxels of the cross-sectional images to obtain a 3D shape that resembles the original object. This method has advantages over conventional 3D image reconstruction methods in that it never has to solve a complicated correspondence problem, and only simple equipment is required for gathering data from the object. Various objects have been tested. The only unresolved problem is that the method fails to reconstruct highly concave-shaped objects. We also include a solution for a ring-like shape of the cross-sectional images problem.