Face detection based on template matching and 2DPCA algorithm

doi:10.1109/CISP.2008.270

CORC > 兰州理工大学 > 兰州理工大学

	Face detection based on template matching and 2DPCA algorithm
	Wang, Jizeng; Yang, Hongmei
	2008
关键词	face recognition face detection template matching 2DPCA
DOI	10.1109/CISP.2008.270
页码	575-579
英文摘要	Human face recognition technology is a popular research topic in the biometrics identification area. Face defection is the most important preprocessing module of a face recognition system,and it plays an important role in applications such as video surveillance, human computer interface. The purpose of the face detection is to search and orient faces in images in complex background. In this paper, we propose a hierarchical face detection method by using the template matching algorithm and 2DPCA algorithm. The method includes two different classifiers. The first one is called rough classifier, which filtrates the most of the non-face The second one is a core classifier, which uses 2DPCA algorithm to detect the face based on the result from the first classifier. The results of the experiment indicates that we implement hierarchical detection to face images not only improves the accurate rate of the face detection, but also shot-tens detection time greatly.
会议录	CISP 2008: FIRST INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOL 4, PROCEEDINGS
会议录出版者	IEEE COMPUTER SOC
会议录出版地	10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
语种	英语
WOS研究方向	Computer Science ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000258873500112
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/37957]
专题	兰州理工大学
通讯作者	Wang, Jizeng
作者单位	Lanzhou Univ Technol, Lanzhou, Peoples R China
推荐引用方式 GB/T 7714	Wang, Jizeng,Yang, Hongmei. Face detection based on template matching and 2DPCA algorithm[C]. 见:.