A biologically inspired model mimicking the memory and two distinct pathways of face perception

doi:10.1016/j.neucom.2016.04.032

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 机器人理论与应用

	A biologically inspired model mimicking the memory and two distinct pathways of face perception
	Xi, Xuanyang1 ; Yin, Peijie 2; Qiao, Hong1,3 ; Li, Yinlin1 ; Feng, Wensen 4
发表期刊	NEUROCOMPUTING
	2016-09-12
期号	205 页码:349-359
文章类型	Article
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.
关键词	Biologically Inspired Model (Bim) Face Perception Memory Component-based
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.neucom.2016.04.032
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61210009 ; National Science and Technology Major Project of China(2014ZX04013011) ; Strategic Priority Research Program of the CAS(XDB02080003) ; Beijing Municipal Science and Technology(2141100002014002) ; 61503383)
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000378952500032
引用统计	被引频次：5[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/173211/12150
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
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
第一作者单位	中国科学院自动化研究所
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.

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