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Pattern Recognition using Feature Feedback : Performance Evaluation for Feature Mask  

Kim, Su-Hyun (국민대학교 전자공학과)
Choi, Sang-Il (서울대학교 BK21정보기술사업단)
Bae, Sung-Han (세종사이버대학교 게임/3D애니메이션학과)
Lee, Young-Dae (세명대학교 정보통신학과)
Jeong, Gu-Min (국민대학교 전자공학부)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.10, no.5, 2010 , pp. 179-185 More about this Journal
Abstract
In this paper, we present a performance evaluation for face recognition algorithm using feature feedback according to the Feature mask. In the face recognition method using feature feedback, important region is extracted from original data set by using the reverse mapping from the extracted features to the original space. In this paper, we evaluate the performance of feature feedback according to shape of Feature Mask for Yale data. Comparing the result using Important part and unimportant part, we show the validity and applicability of the pattern recognition method based on feature feedback.
Keywords
Pattern Recognition; Face Recognition; Feature Feedback; Feature Extracting;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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