  This paper presents a multi stage 3D shape reconstruction system of multiple
object scenes by considering the silhouette inconsistencies in shape-from
silhouette SFS method. These inconsistencies are common in multiple view images
due to object occlusions in different views, segmentation and shadows or
reflection due to objects or light directions. These factors raise huge
challenges when attempting to construct the 3D shape by using existing
approaches which reconstruct only that part of the volume which projects
consistently in all the silhouettes, leaving the rest unreconstructed. As a
result, final shape are not robust due to multi view objects occlusion and
shadows. In this regard, we consider the primary factors affecting
reconstruction by analyzing the multiple images and perform pre-processing
steps to optimize the silhouettes. Finally, the 3D shape is reconstructed by
using the volumetric approach SFS. Theory and experimental results show that,
the performance of the modified algorithm was efficiently improved, which can
improve the accuracy of the reconstructed shape and being robust to errors in
the silhouettes, volume and computational inexpensive.
