Self-Adapting Patch Strategies for Face Recognition
文献类型:期刊论文
作者 | Li, Zhi-Ming3; Li, Wen-Juan2![]() |
刊名 | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
![]() |
出版日期 | 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. |
WOS关键词 | BACKWARD GREEDY ALGORITHM ; REPRESENTATION ; CLASSIFICATION ; FEATURES ; SCALE |
资助项目 | National Natural Science Foundation of China[11401428] |
WOS研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:000521944600010 |
出版者 | WORLD SCIENTIFIC PUBL CO PTE LTD |
资助机构 | National Natural Science Foundation of China |
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. |
入库方式: OAI收割
来源:自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。