In this paper, we have adopted a novel method for 3D modeling. We derived a volumetric data which is constructed from a stack of cross-section images- the so-called tomographic image. Each of the cross-section images is computed from a series of photographs taken at a number of angles around the object. A corresponding intensity profile (row) on each digitized photograph resembles a projection data, which can be used to reconstruct the cross-section image. Once the volumetric data is obtained, iso-surface of the object is extracted using the well-known marching-cube algorithm before being rendered with a conventional surface-rendering technique. Unlike conventional 3D modeling (3D-shape recovery) method of using stereo pairs of camera, our technique does not suffer from laborious corresponding problem. Nor does it require a sophisticated scanning system as it does in the laser range finder. Our purposed method is tested to perform 3D modeling of a variety of objects. The application of our purposed method for volume measurement is also presented in this paper. The results are very promising

Key words: Filtered back-projection, 3D modeling, 3D-shape recovery, 3D-object reconstruction, surface rendering, marching cube, 3D visualization.