Multi-baseline stereo correction for silhouette-based 3D model reconstruction from multiple images

Silhouette based reconstruction algorithm is simple and robust for 3D volume estimation of an object. However? it has two main drawbacks: insufficient number of viewing positions and the inability to detect concavity regions. Starting from an initial convex hull of the object to be modeled which is generated by a silhouette based reconstruction, an algorithm based on photoconsistency is described. The algorithm basically carves the excess volume elements using the multi-baseline stereo information. Result of the described algorithm is demostrated on a sythesized object in an artificial environment