Infrared-visible video automatic registration with contour feature matching

doi:10.3788/OPE.20202805.1140

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	Infrared-visible video automatic registration with contour feature matching
	X.-L. Sun,G.-L. Han,L.-H. Guo,P.-X. Liu and T.-F. Xu
刊名	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
	2020
卷号	28 期号:5 页码:1140-1151
ISSN号	1004924X
DOI	10.3788/OPE.20202805.1140
英文摘要	To register infrared-visible video sequences precisely inalmost-planar scenes, an automatic registration method based on matching the contour features was proposed in this paper. This method could solve the challenging problem regarding extracting and matching features in multimodal images by iteratively matching the contour features of targets. First, this method adopted the technology of moving target detection to identify the contours of targets and extracted the contour feature points with the corner detection algorithm of Curvature Scale Space(CSS). Then, the global shape context descriptors and the local histogram of edge orientation descriptors were established to describe the features; theseareuseful forreliable feature matching. The matched feature pairs from different times were reserved in a reservoir based on the Gaussian distance criterion. Finally, to overcome the influence of target depth variationin almost-planar scenes, the loss function of the registration matrix was calculated by incorporating the strategy of randomly sampling foreground samples, after which the global registration matrix was updated. The method was validated using the LITIV dataset, and the results demonstrate that the proposed method outperforms state-of-the-art methods. The average overlap error of our method on nine test sequences is only 0.194; this value for the compared methods demonstrate a decrease of 18.5%. This essentially satisfies the precise requirement of infrared-visible video registration in almost-planar scenes, and this method is fairly robust. 2020, Science Press. All right reserved.
URL标识	查看原文
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/64618]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	X.-L. Sun,G.-L. Han,L.-H. Guo,P.-X. Liu and T.-F. Xu. Infrared-visible video automatic registration with contour feature matching[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2020,28(5):1140-1151.
APA	X.-L. Sun,G.-L. Han,L.-H. Guo,P.-X. Liu and T.-F. Xu.(2020).Infrared-visible video automatic registration with contour feature matching.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,28(5),1140-1151.
MLA	X.-L. Sun,G.-L. Han,L.-H. Guo,P.-X. Liu and T.-F. Xu."Infrared-visible video automatic registration with contour feature matching".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 28.5(2020):1140-1151.