Knowledge Commons of Institute of Automation，CAS
| Enhanced biologically inspired model for image recognition based on a novel patch selection method with moment | |
Lu, Yanfeng1 ; Jia, Lihao1; Qiao, Hong2; Li, Yi3; Qi, Zongshuai4
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| 发表期刊 | INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING
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| ISSN | 0219-6913 |
| 2019-03-01 | |
| 卷号 | 17期号:2页码:16 |
| 通讯作者 | Lu, Yanfeng(yanfeng.lv@ia.ac.cn) |
| 摘要 | Biologically inspired model (BIM) for image recognition is a robust computational architecture, which has attracted widespread attention. BIM can be described as a four-layer structure based on the mechanisms of the visual cortex. Although the performance of BIM for image recognition is robust, it takes the randomly selected ways for the patch selection, which is sightless, and results in heavy computing burden. To address this issue, we propose a novel patch selection method with oriented Gaussian-Hermite moment (PSGHM), and we enhanced the BIM based on the proposed PSGHM, named as PBIM. In contrast to the conventional BIM which adopts the random method to select patches within the feature representation layers processed by multi-scale Gabor filter banks, the proposed PBIM takes the PSGHM way to extract a small number of representation features while offering promising distinctiveness. To show the effectiveness of the proposed PBIM, experimental studies on object categorization are conducted on the CalTech05, TU Darmstadt (TUD) and GRAZ01 databases. Experimental results demonstrate that the performance of PBIM is a significant improvement on that of the conventional BIM. |
| 关键词 | Image recognition classification BIM oriented Gaussian-Hermite moment Gabor features patch selection |
| DOI | 10.1142/S0219691319400071 |
| 关键词[WOS] | OBJECT RECOGNITION ; FACE RECOGNITION ; APPEARANCE ; FEATURES |
| 收录类别 | SCI |
| 语种 | 英语 |
| 资助项目 | Development of Science and Technology of Guangdong Province Special Fund Project[2016B090910001] ; Strategic Priority Research Program of the CAS[XDB02080003] ; National Natural Science Foundation of China[61210009] ; National Natural Science Foundation of China[61502494] ; National Science Foundation of China[61603389] ; National Science Foundation of China[61603389] ; National Natural Science Foundation of China[61502494] ; National Natural Science Foundation of China[61210009] ; Strategic Priority Research Program of the CAS[XDB02080003] ; Development of Science and Technology of Guangdong Province Special Fund Project[2016B090910001] |
| 项目资助者 | National Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of the CAS ; Development of Science and Technology of Guangdong Province Special Fund Project |
| WOS研究方向 | Computer Science ; Mathematics |
| WOS类目 | Computer Science, Software Engineering ; Mathematics, Interdisciplinary Applications |
| WOS记录号 | WOS:000462661200008 |
| 出版者 | WORLD SCIENTIFIC PUBL CO PTE LTD |
| 七大方向——子方向分类 | 机器学习 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/23487 |
| 专题 | 多模态人工智能系统全国重点实验室_机器人理论与应用 |
| 通讯作者 | Lu, Yanfeng |
| 作者单位 | 1.Chinese Acad Sci, Res Ctr Brain Inspired Intelligence, Inst Automat, Beijing 100190, Peoples R China 2.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China 3.Nanchang Univ, Sch Informat Engn, Nanchang 330031, Jiangxi, Peoples R China 4.Univ Sci & Technol, Sch Comp & Commun Engn, Beijing 100083, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lu, Yanfeng,Jia, Lihao,Qiao, Hong,et al. Enhanced biologically inspired model for image recognition based on a novel patch selection method with moment[J]. INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING,2019,17(2):16. |
| APA | Lu, Yanfeng,Jia, Lihao,Qiao, Hong,Li, Yi,&Qi, Zongshuai.(2019).Enhanced biologically inspired model for image recognition based on a novel patch selection method with moment.INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING,17(2),16. |
| MLA | Lu, Yanfeng,et al."Enhanced biologically inspired model for image recognition based on a novel patch selection method with moment".INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING 17.2(2019):16. |
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| IJWMIP2018.pdf（394KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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