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

Tushar Jadhav, Kulbir Singh, Aditya Abhyankar

Abstract


ABSTRACT

3D 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. Though, 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. This will help researchers to understand state of the art in this field.


Keywords


3D reconstruction; Image space; Multi-view; Surface extraction; Surface evolution.

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References


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