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 1; Li, Wen-Juan2 ; Wang, Jun 3
发表期刊	INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
ISSN	0218-0014
	2020-02-01
卷号	34 期号:2 页码:17
通讯作者	Li, Wen-Juan(wenjuan.li@nlpr.ia.ac.cn)
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.
关键词	Two-dimensional discrete wavelet transform self-adapting patch strategy edge recovery local binary pattern adaptive forward-backward greedy algorithm sparse constraint
DOI	10.1142/S0218001420560029
关键词[WOS]	BACKWARD GREEDY ALGORITHM ; REPRESENTATION ; CLASSIFICATION ; FEATURES ; SCALE
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[11401428]
项目资助者	National Natural Science Foundation of China
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000521944600010
出版者	WORLD SCIENTIFIC PUBL CO PTE LTD
七大方向——子方向分类	目标检测、跟踪与识别
引用统计	被引频次：4[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/173211/38771
专题	多模态人工智能系统全国重点实验室_视频内容安全
通讯作者	Li, Wen-Juan
作者单位	1.Shanxi Univ Finance & Econ, Fac Appl Math, Taiyuan, Peoples R China 2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China 3.Tianjin Univ, Sch Math, Tianjin, Peoples R China
通讯作者单位	模式识别国家重点实验室
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.