A NEW FACE FEATURE EXTRACTION METHOD BASED ON FUSING LBP AND DBNS FEATURES

CORC > 兰州理工大学 > 兰州理工大学

	A NEW FACE FEATURE EXTRACTION METHOD BASED ON FUSING LBP AND DBNS FEATURES
	Wang, Yan; Wang, Yunyun
刊名	INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL
	2016-08-01
卷号	12 期号:4 页码:1353-1364
关键词	Feature extraction Deep Belief Networks LBP Extreme Learning Machine
ISSN号	1349-4198
英文摘要	Deep Belief Networks (DBNs) method ignores the image local structure and is difficult to learn the local characteristics of face image, the network training time is also too long to make full use of the facial texture feature and reduce the bad influence of illumination, and a novel method by fusing Local Binary Pattern (LBP) and DBNs features is proposed in this paper. In this method, the LBP feature is as the input of the DBNs. Furthermore, in order to accelerate the training speed of DBNs, the Extreme Learning Machine (ELM) is introduced into the network training process. Finally, the training network is used to classify and recognize. Experiments on ORL and FERET face databases with different resolution demonstrate that the proposed method is better than other relevant methods.
WOS研究方向	Computer Science
语种	英语
出版者	ICIC INTERNATIONAL
WOS记录号	WOS:000406133800023
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/155686]
专题	兰州理工大学
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, 287 Langongping Rd, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Wang, Yan,Wang, Yunyun. A NEW FACE FEATURE EXTRACTION METHOD BASED ON FUSING LBP AND DBNS FEATURES[J]. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL,2016,12(4):1353-1364.
APA	Wang, Yan,&Wang, Yunyun.(2016).A NEW FACE FEATURE EXTRACTION METHOD BASED ON FUSING LBP AND DBNS FEATURES.INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL,12(4),1353-1364.
MLA	Wang, Yan,et al."A NEW FACE FEATURE EXTRACTION METHOD BASED ON FUSING LBP AND DBNS FEATURES".INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 12.4(2016):1353-1364.