Title :
Research on feature matching algorithm based on three-dimensional information acquisition
Author :
Zong, Xiaoning ; Li, Xinzhi
Author_Institution :
Tianjin Key Lab. for Control Theor. & Applic. in Complicated Syst., Tianjin Univ. of Technol., Tianjin, China
Abstract :
Image feature matching in three-dimensional information acquisition technology is an important aspect of machine vision, in order to achieve the real-time and matching robustness requirement, an image registration method based on SURF algorithm is proposed. First construct Hessian matrix based on box-type filter, use SURF algorithm to calculate the information of feature points, then decompose characteristics of feature points and match feature points. Experimental results show that the matching speed of SURF algorithm is 4 times as fast as the SIFT algorithm, greatly improves the real-time and robustness.
Keywords :
Hessian matrices; computer vision; data acquisition; feature extraction; image matching; image registration; Hessian matrix; SIFT algorithm; SURF algorithm; box-type filter; feature point characteristics decomposition; feature point information; feature point matching; image feature matching algorithm; image registration method; machine vision; three-dimensional information acquisition technology; Algorithm design and analysis; Biomedical imaging; Biomedical monitoring; Compounds; Monitoring; Robots; Robustness; SURF algorithm; image registration; three-dimensional information acquisition;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
DOI :
10.1109/ICCSNT.2011.6182152
