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	Affine invariant fusion feature extraction based on geometry descriptor and BIT for object recognition
	Yu, Lingli; Xia, Xumei; Zhou, Kiajun; Zhao, Lijun
刊名	IET IMAGE PROCESSING
	2019
卷号	Vol.13 No.1页码:57-72
关键词	feature extraction image recognition affine transforms object recognition face recognition edge detection valuable technology image recognition bio-visual mechanism object recognition method fusion feature framework geometry descriptor double biologically inspired transformation shape feature interest detector contour features area estimation affine region detector area ratio feature vectors orientation edge detector local space frequency detector DBIT feature vectors weighted fusion strategy Pearson correlation distance geometry feature highly stable recognition accuracy feature invariance selectivity affine invariant fusion feature extraction affine transformation viewing angle distance variations affine invariant feature extraction
ISSN号	1751-9659
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4615220
专题	湖南大学
作者单位	1.State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China 2.School of Information Science and Engineering, Central South University, Changsha, China 3.School of Computer and Information Engineering, Hunan Universit
推荐引用方式 GB/T 7714	Yu, Lingli,Xia, Xumei,Zhou, Kiajun,et al. Affine invariant fusion feature extraction based on geometry descriptor and BIT for object recognition[J]. IET IMAGE PROCESSING,2019,Vol.13 No.1:57-72.
APA	Yu, Lingli,Xia, Xumei,Zhou, Kiajun,&Zhao, Lijun.(2019).Affine invariant fusion feature extraction based on geometry descriptor and BIT for object recognition.IET IMAGE PROCESSING,Vol.13 No.1,57-72.
MLA	Yu, Lingli,et al."Affine invariant fusion feature extraction based on geometry descriptor and BIT for object recognition".IET IMAGE PROCESSING Vol.13 No.1(2019):57-72.

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