한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
- /
- Pages.299-302
- /
- 2001
특징정보 분석을 통한 실시간 얼굴인식
Realtime Face Recognition by Analysis of Feature Information
- Chung, Jae-Mo (School of Electrical and Computer Eng., Pusan National Univ.) ;
- Bae, Hyun (School of Electrical and Computer Eng., Pusan National Univ.) ;
-
Kim, Sung-Shin
(School of Electrical and Computer Eng., Pusan National Univ.)
- 발행 : 2001.12.01
초록
The statistical analysis of the feature extraction and the neural networks are proposed to recognize a human face. In the preprocessing step, the normalized skin color map with Gaussian functions is employed to extract the region of face candidate. The feature information in the region of the face candidate is used to detect the face region. In the recognition step, as a tested, the 120 images of 10 persons are trained by the backpropagation algorithm. The images of each person are obtained from the various direction, pose, and facial expression. Input variables of the neural networks are the geometrical feature information and the feature information that comes from the eigenface spaces. The simulation results of
키워드