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A novel three-dimensional reconstruction algorithm "Shape-from-Silhouette/Stereo (SFS2)" is presented in this paper. This algorithm combines Shape-from-Silhouette with stereo based on simple voting-localizing operations in a voxel space. In this algorithm, Shape-from-Silhouette roughly estimates the shape of the target object first, and then multi-eye stereo is applied within the estimated area to refine the shape. This algorithm overcomes the shortcomings of each algorithm and offers the following: 1) More precise shape reconstruction than simple Shape-from-Silhouette; 2) Quicker processing than simple stereo-based reconstruction; and 3) Better noise reduction than multi-eye stereo. Our experiments showed that SFS2 is highly practical for generating 3D models of real objects.

Shape-from-Silhouette/Stereo and Its Application to 3-D Digitizer