@inproceedings{a4841f9a4bdb4dd18bb159f045e5bac7,
title = "Image matching with an improved descriptor based on SIFT",
abstract = "In this paper, we propose a novel 30-dimension descriptor named SIFTRO(SIFT of Ring Order) to promote the matching speed, which is generated from 3 local ring areas. A new element reordering method is presented to ensure the descriptor's rotation invariance. To obtain the best scale factor for SIFTRO descriptor, the weight hierarchy decision model based on AHP is designed. The experiments show that the SIFTRO descriptor inherits the advantages of the invariance to image scaling, rotation and affine, and it also speeds up greatly in image matching, while the precision is improved compared with that of original SIFT.",
keywords = "Image matching, Ring descriptor, SIFT, SIFTRO, Scale factor",
author = "Xuemei Hu and Yan Ding",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; 7th International Conference on Electronics and Information Engineering, ICEIE 2016 ; Conference date: 17-09-2016 Through 18-09-2016",
year = "2017",
doi = "10.1117/12.2265595",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Xiyuan Chen",
booktitle = "Seventh International Conference on Electronics and Information Engineering",
address = "United States",
}