Self-Adapting Patch Strategies for Face Recognition

doi:10.1142/S0218001420560029

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	Self-Adapting Patch Strategies for Face Recognition
	Li, Zhi-Ming 3; Li, Wen-Juan 2; Wang, Jun 1
刊名	INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
	2020-02-01
卷号	34 期号:2 页码:17
关键词	Two-dimensional discrete wavelet transform self-adapting patch strategy edge recovery local binary pattern adaptive forward-backward greedy algorithm sparse constraint
ISSN号	0218-0014
DOI	10.1142/S0218001420560029
通讯作者	Li, Wen-Juan(wenjuan.li@nlpr.ia.ac.cn)
英文摘要	In this paper, we propose two self-adapting patch strategies, which are obtained by employing the integral projection technique on images' edge images, while the edge images are recovered by the two-dimensional discrete wavelet transform. The patch strategies are equipped with the advantage of considering the single image's unique properties and maintaining the integrity of some particular local information. Combining the self-adapting patch strategies with local binary pattern feature extraction and the classifier of the forward and backward greedy algorithms under strong sparse constraint, we propose two new face recognition methods. Experiments are run on the Georgia Tech, LFW and AR face databases. The obtained numerical results show that the new methods outperform some related patch-based methods to a larger extent.
资助项目	National Natural Science Foundation of China[11401428]
WOS关键词	BACKWARD GREEDY ALGORITHM ; REPRESENTATION ; CLASSIFICATION ; FEATURES ; SCALE
WOS研究方向	Computer Science
语种	英语
出版者	WORLD SCIENTIFIC PUBL CO PTE LTD
WOS记录号	WOS:000521944600010
资助机构	National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/38770]
专题	自动化研究所_模式识别国家重点实验室_视频内容安全团队
通讯作者	Li, Wen-Juan
作者单位	1.Tianjin Univ, Sch Math, Tianjin, Peoples R China 2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China 3.Shanxi Univ Finance & Econ, Fac Appl Math, Taiyuan, Peoples R China
推荐引用方式 GB/T 7714	Li, Zhi-Ming,Li, Wen-Juan,Wang, Jun. Self-Adapting Patch Strategies for Face Recognition[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,2020,34(2):17.
APA	Li, Zhi-Ming,Li, Wen-Juan,&Wang, Jun.(2020).Self-Adapting Patch Strategies for Face Recognition.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,34(2),17.
MLA	Li, Zhi-Ming,et al."Self-Adapting Patch Strategies for Face Recognition".INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 34.2(2020):17.