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http://dx.doi.org/10.4218/etrij.10.1510.0139

Disguised-Face Discriminator for Embedded Systems  

Yun, Woo-Han (IT Convergence Technology Research Laboratory, ETRI)
Kim, Do-Hyung (IT Convergence Technology Research Laboratory, ETRI)
Yoon, Ho-Sub (IT Convergence Technology Research Laboratory, ETRI)
Lee, Jae-Yeon (IT Convergence Technology Research Laboratory, ETRI)
Publication Information
ETRI Journal / v.32, no.5, 2010 , pp. 761-765 More about this Journal
Abstract
In this paper, we introduce an improved adaptive boosting (AdaBoost) classifier and its application, a disguised-face discriminator that discriminates between bare and disguised faces. The proposed classifier is based on an AdaBoost learning algorithm and regression technique. In the process, the lookup table of AdaBoost learning is utilized. The proposed method is verified on the captured images under several real environments. Experimental results and analysis show the proposed method has a higher and faster performance than other well-known methods.
Keywords
Disguised face; discriminator; AdaBoost;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
Times Cited By Web Of Science : 1  (Related Records In Web of Science)
Times Cited By SCOPUS : 3
연도 인용수 순위
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