Features Combined Binary Descriptor Based on Voted Ring-Sampling Pattern

doi:10.1109/TCSVT.2019.2943595

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 遥感图像处理团队

	Features Combined Binary Descriptor Based on Voted Ring-Sampling Pattern
	Liu, Hongmin 2,3; Zhang, Qianqian 3; Fan, Bin 1; Wang, Zhiheng 3; Han, Junwei 4
刊名	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
	2020-10-01
卷号	30 期号:10 页码:3675-3687
关键词	Histograms Feature extraction Encoding Task analysis Fans Computational efficiency Memory management Binary descriptor combined features gradient feature intensity feature ring-sampling pattern voting strategy
ISSN号	1051-8215
DOI	10.1109/TCSVT.2019.2943595
通讯作者	Fan, Bin(bfan@nlpr.ia.ac.cn)
英文摘要	Most existing binary descriptors are only based on intensity and simply compare averaged intensities of one sample pair to obtain binary output. To address this issue, we propose a novel ring-sampling pattern based binary descriptor encoding both intensity and gradient. For intensity coding, a ring-sampling pattern is presented to define a number of sample points and their neighboring points given an interest point. The intensity difference between two sample points is obtained by performing the comparisons of the intensities of their corresponding neighboring points directly. Further, a majority based voting strategy is employed to obtain compact representation (1 bit or 3 bits) based on all these intensity difference among neighboring points. As for gradient coding, the gradient orientation histogram is computed for each sample point, and the gradient difference of two sample points is obtained by comparing the gradient magnitude on each orientation bin. The raw binary descriptor is constructed by concentrating the intensity and gradient differences of all the sample pairs, and two feature selection strategies are proposed to obtain the final compact descriptor, named as Features Combined Binary Descriptor based on Voted Ring-Sampling Pattern (BDVRP). The experimental results on the tasks of object recognition and image matching demonstrate the superiority and the effectiveness of the proposed descriptor, with comparison to the state-of-the-art hand-crafted binary descriptors.
资助项目	National Natural Science Foundation of China[61572173] ; National Natural Science Foundation of China[61472119] ; Henan Science and Technology Innovation Outstanding Youth Program[184100510009] ; Henan University Scientific and Technological Innovation Team Support Program[19IRTSTHN012] ; Fundamental Research Funds for the Universities of Henan Province[NSFRF1604]
WOS关键词	IMAGE ; SCALE
WOS研究方向	Engineering
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000576289700030
资助机构	National Natural Science Foundation of China ; Henan Science and Technology Innovation Outstanding Youth Program ; Henan University Scientific and Technological Innovation Team Support Program ; Fundamental Research Funds for the Universities of Henan Province
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/42078]
专题	自动化研究所_模式识别国家重点实验室_遥感图像处理团队
通讯作者	Fan, Bin
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100864, Peoples R China 2.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China 3.Henan Polytech Univ, Sch Comp Sci & Technol, Jiaozuo 454000, Henan, Peoples R China 4.Northwestern Polytech Univ, Sch Automat, Xian 710072, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Liu, Hongmin,Zhang, Qianqian,Fan, Bin,et al. Features Combined Binary Descriptor Based on Voted Ring-Sampling Pattern[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2020,30(10):3675-3687.
APA	Liu, Hongmin,Zhang, Qianqian,Fan, Bin,Wang, Zhiheng,&Han, Junwei.(2020).Features Combined Binary Descriptor Based on Voted Ring-Sampling Pattern.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,30(10),3675-3687.
MLA	Liu, Hongmin,et al."Features Combined Binary Descriptor Based on Voted Ring-Sampling Pattern".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 30.10(2020):3675-3687.