Binocular Stereo Vision Based Three Dimensional Reconstruction Using Domain-Sized Pooling Local Features

Abstract

In this paper we propose a novel method of 3D image reconstruction using domain-sized pooling SIFT features. First, we introduce the basic principles of binocular vision. Second, we apply the state-of-the-art image feature descriptor DSP-SIFT to the feature matching problem in 3D reconstruction. Third, we tested the image matching in the 3D reconstruction system. We provide the layout and error measurement of the binocular vision based 3D reconstruction system. Finally, the experimental results are presented. The speed and accuracy are satisfactory.