Next View Planning for Shape from Silhouette

In order to create a complete three-dimensional model of an object based on its two-dimensional images, the images have to be acquired from different views. An increasing number of views generally improves the accuracy of the final 3D model but it also increases the time needed to build the model. The number of the possible views can theoretically be infinite. Therefore, it makes sense to try to reduce the number of views to a minimum while preserving a certain accuracy of the model, especially in applications for which the performance is an important issue. This paper shows an approach to Next View Planning for Shape from Silhouette for 3d shape reconstruction with minimal different views. Results of the algorithm developed are presented for both synthetic and real input images.