@inproceedings{667e0f23de374a3cadde41a21df6d7de,
title = "Reference point-based SIFT feature matching",
abstract = "Aiming to solve the high computational and time consuming problem in SIFT feature matching, this paper presents an improved SIFT feature matching algorithm based on reference point. The algorithm starts from selecting a suitable reference point in the feature descriptor space when SIFT features are extracted. In the feature matching stage, this paper uses the Euclidean distance between descriptor vectors of the feature point to be matched and the reference point to make a fast filtration which removes most of the features that could not be matched. For the remaining SIFT features, Best-bin-first (BBF) algrithm is utilized to obtain precise matches. Experimental results demonstrate that the proposed matching algorithm achieves good effectiveness in image matching, and takes only about 60 percent of the time that the traditional matching algorithm takes.",
keywords = "Feature matching, Reference distance, Reference point, SIFT",
author = "Lei Cao and Di Liao and Xue, \{Bin Dang\}",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.543-547.2670",
language = "英语",
isbn = "9783038350606",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications",
pages = "2670--2673",
booktitle = "Vehicle, Mechatronics and Information Technologies II",
address = "德国",
note = "International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2014 ; Conference date: 19-02-2014 Through 20-02-2014",
}