A review and comparison of multi-view 3D reconstruction methods

Three dimensional reconstruction from multiple views is well studied,fundamental,yet a challenging problem in the field of computer vision. there is a large variety of approaches available in the literature. the methods use different representations for input scene/object and may provide different kinds of outputs. some methods model entire scene as voxel-set where as some use level sets or polygon mesh representation. output may be either volume or surface representing the reconstructed object/scene. some methods work in image space where as some methods work in object space. these methods are developed to offer a good compromise between computation speed,computation complexity and accuracy along with feasibility in implementation. selection of a particular method depends on the requirements of application and availability of required resources. however,earlier reviews are available in the literature,fast advances in this field demand latest review. the paper presents a review and comparison of latest multi-view 3d reconstruction methods along with the information about standard datasets and tool boxes/open source software. this will help researchers to understand state of the art in this field.