DocumentCode :
604494
Title :
Comparative research of the common face detection methods
Author :
Xiaobo Zhu ; Dong Ren ; Zhenyu Jing ; Lin Yan ; Shuanghui Lei
Author_Institution :
Coll. of Comput. & Inf. Technol., China Three Gorges Univ., Yichang, China
fYear :
2012
fDate :
29-31 Dec. 2012
Firstpage :
1528
Lastpage :
1533
Abstract :
Face detection is an important part of the face recognition, in this article the common face detection algorithms are summarized and classified, and several representative face detection algorithm are compared, respectively, the principle, advantages and disadvantages of these methods is described and finally the development trends and challenges of face detection method are presented.
Keywords :
face recognition; image classification; image matching; statistical analysis; face classification; face recognition; representative face detection algorithm; statistical model; template matching; Adaboost; Face Recognition; Face detection; statistical model; template matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
Type :
conf
DOI :
10.1109/ICCSNT.2012.6526210
Filename :
6526210
Link To Document :
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