
Experiment of Stereo Matching Algorithm Based on Binocular Vision
Author(s) -
Dongdong Lv,
Guie Jiao
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1574/1/012173
Subject(s) - artificial intelligence , computer vision , matching (statistics) , binocular disparity , computer science , binocular vision , stereopsis , window (computing) , tracking (education) , computer stereo vision , mathematics , psychology , pedagogy , statistics , operating system
Binocular stereo matching is a hot topic in 3D reconstruction, target detection and target tracking. Through experiments, this paper analyzes and compares several classic binocular stereo matching algorithms, and finally selects SGBM with good comprehensive performance. Moreover, based on this, it gets accurate window size parameters through experiments, which provides a basis for the following 3D modeling.