Robust and Fast Registration of Infrared and Visible Images for Electro-Optical Pod

doi:10.1109/TIE.2018.2833051

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Robust and Fast Registration of Infrared and Visible Images for Electro-Optical Pod
	Liu, Xiangzeng 1; Ai, Yunfeng 2; Tian, Bin3 ; Cao, Dongpu 4
发表期刊	IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
ISSN	0278-0046
	2019-02-01
卷号	66 期号:2 页码:1335-1344
通讯作者	Liu, Xiangzeng(lxzccy20062008@126.com) ; Ai, Yunfeng(aiyunfeng@ucas.ac.cn)
摘要	To deal with the registration of infrared and visible image with significant difference in contrast and large geometric distortion in electro-optical pod, a robust and fast registration method by using common structural features is proposed in this paper. First, to adjust the scales of input images, a geometric transformation model is built based on parameters of the cameras. Then, a global structural feature extraction strategy is developed by using phase congruency and significance ranking space. Those features are not only invariant to the scale and contrast but also embody the structural of the input images maximally and uniformly. Finally, to enhance the robustness to contrast, blurring, and incompleteness of structures, an adaptive feature matching method with kernelized correlation filter is presented. Experimental results demonstrate that the proposed method has better performance than several state-of-the-art methods in robustness and precision, and also confirm its validity in the real environment.
关键词	Electro-optical pod image registration infrared and visible image kernelized correlation filter phase congruency
DOI	10.1109/TIE.2018.2833051
关键词[WOS]	DESCRIPTOR ; INVARIANT ; FEATURES ; TRACKING ; SURF
收录类别	SCI
语种	英语
资助项目	Chinese Postdoctoral Science Foundation[2016M592905XB] ; National Natural Science Foundation of China[61503380] ; Natural Science Foundation of Guangdong Province, China[2015A030310187] ; Chinese Postdoctoral Science Foundation[2016M592905XB] ; National Natural Science Foundation of China[61503380] ; Natural Science Foundation of Guangdong Province, China[2015A030310187]
项目资助者	Chinese Postdoctoral Science Foundation ; National Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province, China
WOS研究方向	Automation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS类目	Automation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号	WOS:000446340800048
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：24[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/28115
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Liu, Xiangzeng; Ai, Yunfeng
作者单位	1.Xian Microelect Technol Inst, Xian 710065, Shaanxi, Peoples R China 2.Univ Chinese Acad Sci, Artificial Intelligence Dept, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Univ Waterloo, Dept Mech & Mechatron Engn, Waterloo, ON N2L 3G1, Canada
推荐引用方式 GB/T 7714	Liu, Xiangzeng,Ai, Yunfeng,Tian, Bin,et al. Robust and Fast Registration of Infrared and Visible Images for Electro-Optical Pod[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2019,66(2):1335-1344.
APA	Liu, Xiangzeng,Ai, Yunfeng,Tian, Bin,&Cao, Dongpu.(2019).Robust and Fast Registration of Infrared and Visible Images for Electro-Optical Pod.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,66(2),1335-1344.
MLA	Liu, Xiangzeng,et al."Robust and Fast Registration of Infrared and Visible Images for Electro-Optical Pod".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 66.2(2019):1335-1344.