ICASSP 2015accepted0 citations
Image matching for repetitive patterns
Abstract
Repetitive patterns exist widely in real world images, and matching images with plenty of repetitive patterns remains a challenging task. We present in this paper a novel feature matching algorithm of images with notably repetitive patterns, in which a reliable initial correspondence set is established, purified and propagated using a voting strategy, incorporating a local geometrical constraint. Experiments have demonstrated that the proposed algorithm outperforms state-of-the-art feature matching methods on matching images with plenty of repetitive patterns.
BibTeX
@inproceedings{icassp2015_imagematchingfor,
title = {Image matching for repetitive patterns},
author = {Lu Tian and Xianwei Xu and Jie Zhou},
booktitle = {ICASSP 2015},
year = {2015}
}