Title :
A survey on stereo vision matching algorithms
Author :
Xiaoxue Zhang ; Zhigang Liu
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
Stereo matching is an important research topic in the field of stereo vision. According to the stereo matching information, stereo matching algorithms can be divided into local, global, and semi-global algorithms. This paper summarizes the advantages and shortcomings of these matching algorithms. An experimental platform is set up for health care, and some matching algorithms are tested. Experimental results demonstrate that the dimensionality reduction and minimum spanning tree algorithm outperform guided filter and binary method in terms of both accuracy and speed.
Keywords :
health care; image matching; stereo image processing; trees (mathematics); binary method; dimensionality reduction; guided filter; health care; minimum spanning tree algorithm; semiglobal algorithm; stereo matching information; stereo vision matching algorithm; Computer vision; Educational institutions; Filtering; Medical services; Real-time systems; Stereo vision; Sun; binocular vision; health care system; stereo matching;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053033