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http://dx.doi.org/10.5391/JKIIS.2010.20.5.677

Improvement of Face Recognition Speed Using Pose Estimation  

Choi, Sun-Hyung (홍익대학교 전기정보제어공학과)
Cho, Seong-Won (홍익대학교 전기정보제어공학과)
Chung, Sun-Tae (숭실대학교 정보통신전자공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.20, no.5, 2010 , pp. 677-682 More about this Journal
Abstract
This paper addresses a method of estimating roughly the human pose by comparing Haar-wavelet value which is learned in face detection technology using AdaBoost algorithm. We also presents its application to face recognition. The learned weak classifier is used to a Haar-wavelet robust to each pose's feature by comparing the coefficients during the process of face detection. The Mahalanobis distance is used to measure the matching degree in Haar-wavelet selection. When a facial image is detected using the selected Haar-wavelet, the pose is estimated. The proposed pose estimation can be used to improve face recognition speed. Experiments are conducted to evaluate the performance of the proposed method for pose estimation.
Keywords
Pose Estimation; AdaBoost; Haar-wavelet; Face Detection; Mahalanobis Distance; face identification;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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