지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
In this paper, a face detection method for interactive TV control system using a new feature, edge histogram feature, with a support vector machine(SVM) in the near-infrared(NIR) images is proposed. The edge histogram feature is extracted using 16-directional edge intensity and a histogram. Compared to the previous method using local binary pattern(LBP) feature, the proposed method using edge histogram feature has better performance in both smaller feature size and lower equal error rate(EER) for face detection experiments in NIR databases.
목차
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참고문헌 (12)
참고문헌 신청
C. A. Waring / 2005 / Face detection using spectral histograms and SVMs / IEEE Trans. Systems, Man and Cybernetics 99 : 467 ~ 476
C. Shan / 2009 / Facial expression recognition based on local binary pattern:A comprehensive study / Image and Vision Computing 27 : 803 ~ 816
F. Y. Shih / 2004 / Automatic extraction of head and face boundaries and facial feature / Information Sciences 158 : 117 ~ 130
G. Zhang / 2004 / Boosting local binary pattern based facerecognition / Proc. Advances in Biometric PersonAuthentication 3338 : 179 ~ 186
S. Gundimada / 2004 / Face detection technique based on rotation invariant wavelet features / Int's Conf., Information Technology : Coding and Computing 2 : 157 ~ 158
C. Shan / 2009 / Facial expression recognition based on local binary pattern:A comprehensive study / Image and Vision Computing 27 : 803 ~ 816
F. Y. Shih / 2004 / Automatic extraction of head and face boundaries and facial feature / Information Sciences 158 : 117 ~ 130
G. Zhang / 2004 / Boosting local binary pattern based facerecognition / Proc. Advances in Biometric PersonAuthentication 3338 : 179 ~ 186
S. Gundimada / 2004 / Face detection technique based on rotation invariant wavelet features / Int's Conf., Information Technology : Coding and Computing 2 : 157 ~ 158
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