Research and Development of Binocular Stereo Matching Algorithm

Abstract

Binocular stereo vision has the advantages of low cost and wide applicability. It is extensively used in object recognition, object detection and has become the research focuses in the field of computer vision. Stereo matching is the critical process in the binocular stereo vision system, which plays an important role in the realization of three-dimensional reconstruction. The practical application of matching cost computation, cost aggregation, disparity computation/optimization and disparity refinement is described and the future trend of stereo matching is summarized and prospected based on the analysis of local, global, semi global and depth learning based stereo matching algorithms. Stereo matching will focus on solving the problem of mismatches in non-occluded and textureless regions. Deep learning algorithm for stereo matching has the advantages of high precision, and which is the future trend. Stereo matching algorithm will advance toward high precision, and real-time. Ideas and references are provided for the develop-ment of stereo matching of binocular vision technology.

Keywords

• binocular stereo vision
• stereo matching
• local stereo matching
• global stereo matching
• semi-global stereo matching
• deep learning