@inproceedings{1fe59d6ef4034ec0a8fa999990159558,
title = "A robust line matching method based on local appearance descriptor and neighboring geometric attributes",
abstract = "This paper reports an efficient method for line matching, which utilizes local intensity gradient information and neighboring geometric attributes. Lines are detected in a multi-scale way to make the method robust to scale changes. A descriptor based on local appearance is built to generate candidate matching pairs. The key idea is to accumulate intensity gradient information into histograms based on their intensity orders to overcome the fragmentation problem of lines. Besides, local coordinate system is built for each line to achieve rotation invariance. For each line segment in candidate matching pairs, a histogram is built by aggregating geometric attributes of neighboring line segments. The final matching measure derives from the distance between normalized geometric attributes histograms. Experiments show that the proposed method is robust to large illumination changes and is rotation invariant.",
keywords = "Line matching, intensity order, local coordinate system, multi-scale line extraction, neighboring geometric attributes",
author = "Jing Xing and Zhenzhong Wei and Guangjun Zhang",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; International Symposium on Infrared Technology and Application and the International Symposiums on Robot Sensing and Advanced Control ; Conference date: 09-05-2016 Through 11-05-2016",
year = "2016",
doi = "10.1117/12.2246935",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Haimei Gong and Aiguo Song",
booktitle = "Infrared Technology and Applications, and Robot Sensing and Advanced Control",
address = "美国",
}