A biologically inspired model mimicking the memory and two distinct pathways of face perception
文献类型：期刊论文
| 作者 | Xi, Xuanyang1 ; Yin, Peijie2; Qiao, Hong1,3; Li, Yinlin1; Feng, Wensen4
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| 刊名 | NEUROCOMPUTING
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| 出版日期 | 2016-09-12 |
| 卷号 | 205页码:349-359 |
| 关键词 | Biologically inspired model (BIM) Face perception Memory Component-based |
| 英文摘要 | In this paper, we propose a face perception model to mimic the biological mechanism of face perception and memory in human brain. We are mainly inspired by the fact that there are two functionally and neurologically distinct pathways after the early face perception and they both interact to process the changeable features of faces. Accordingly, our model consists of three perception parts, facial structure perception, facial expression perception and facial identity perception, which are all component-based. The structure perception has a feed-forward projection to the expression and identity perception, while the expression affects the identity perception with a modulation process. We embody the three parts referring to three bio-inspired computational models. For the facial structure perception, we utilize a cascaded-CNN (convolutional neural networks) approach to estimate the center locations of key facial components. For the facial expression perception, we propose a novel approach which exploits convolutional deep belief networks (CDBN) to spontaneously locate the places containing the most discriminative information and synchronously complete the feature learning and feature selection. For the facial identity perception, we propose an approach which adopts the hierarchical max-pooling (HMAX) model to encode notable characteristics of facial components and utilizes a new memory formation integrating the preliminary decision, expression modulation and final decision process. We evaluate our model through a series of experiments and the experimental results demonstrate its rationality and effectiveness. (C) 2016 Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | SUPERIOR TEMPORAL SULCUS ; LOCAL BINARY PATTERNS ; OBJECT RECOGNITION ; FACIAL EXPRESSIONS ; RECEPTIVE FIELDS ; UNFAMILIAR FACES ; CORTEX ; IDENTITY ; REPRESENTATIONS ; EIGENFACES |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000378952500032 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12150]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China 3.CAS Ctr Excellence Brain Sci & Intelligence Techn, Shanghai 200031, Peoples R China 4.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xi, Xuanyang,Yin, Peijie,Qiao, Hong,et al. A biologically inspired model mimicking the memory and two distinct pathways of face perception[J]. NEUROCOMPUTING,2016,205:349-359. |
| APA | Xi, Xuanyang,Yin, Peijie,Qiao, Hong,Li, Yinlin,&Feng, Wensen.(2016).A biologically inspired model mimicking the memory and two distinct pathways of face perception.NEUROCOMPUTING,205,349-359. |
| MLA | Xi, Xuanyang,et al."A biologically inspired model mimicking the memory and two distinct pathways of face perception".NEUROCOMPUTING 205(2016):349-359. |
入库方式： OAI收割
来源：自动化研究所
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