A Review of Today's Multi-view Reconstruction

This paper reviews today's algorithms about multi-view reconstruction.Firstly,the classification and evaluation methods for multi-view reconstruction are introduced.Secondly,some constraints,such as photo-consistency and visibility, are analyzed.Then,some typical algorithms are discussed,such as depth map,space carving,deformable model,objective function optimization(including the level set method,graph cuts method),seed-growing method,and probability estimation method(including Markov-field method,EM method).Some shortcomings in all of these algorithms are discussed.A new 3D reconstruction idea integrating some of aforementioned reconstruction methods and reconstruction cues is proposed to improve the integrity and accuracy of multi-view reconstruction.