@inproceedings{12aa7ea6f8bd469d8c9280cf59a2a47f,
title = "THTM: A template matching algorithm based on HOG descriptor and two-stage matching",
abstract = "We propose a novel method for template matching named THTM - a template matching algorithm based on HOG (histogram of gradient) and two-stage matching. We rely on the fast construction of HOG and the two-stage matching that jointly lead to a high accuracy approach for matching. TMTM give enough attention on HOG and creatively propose a twice-stage matching while traditional method only matches once. Our contribution is to apply HOG to template matching successfully and present two-stage matching, which is prominent to improve the matching accuracy based on HOG descriptor. We analyze key features of THTM and perform compared to other commonly used alternatives on a challenging real-world datasets. Experiments show that our method outperforms the comparison method.",
keywords = "HOG, Pattern Recognition, Template Matching, Twice-Stage Matching",
author = "Yuanjie Jiang and Li Ruan and Limin Xiao and Xi Liu and Feng Yuan and Haitao Wang",
note = "Publisher Copyright: {\textcopyright} 2018 Author(s).; 2nd International Conference on Advances in Materials, Machinery, Electronics, AMME 2018 ; Conference date: 20-01-2018 Through 21-01-2018",
year = "2018",
month = apr,
day = "18",
doi = "10.1063/1.5033795",
language = "英语",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Can Yang and Lin Liu and Jianfeng Ke",
booktitle = "Advances in Materials, Machinery, Electronics II",
}