상세정보
학술지
A Probabilistic Network for Facial Feature Verification
- 발행일
- 200304
- 출처
- ETRI Journal, v.25 no.2, pp.140-143
- ISSN
- 1225-6463
- 출판사
- 한국전자통신연구원 (ETRI)
- 협약과제
- 02MC3600, 위성영상정보 통합관리, 박종현
- 초록
- In this paper, we present a probabilistic approach to determining whether extracted facial features from a video sequence are appropriate for creating a 3D face model. In our approach, the distance between two feature points selected from the MPEG-4 facial object is defined as a random variable for each node of a probability network. To avoid generating an unnatural or non-realistic 3D face model, automatically extracted 2D facial features from a video sequence are fed into the proposed probabilistic network before a corresponding 3D face model is built. Simulation results show that the proposed probabilistic network can be used as a quality control agent to verify the correctness of extracted facial features.
- KSP 제안 키워드
- 3D face model, Mpeg-4, Probabilistic approach, Quality Control(QC), Random variable, each node, facial features, feature points, probability network, simulation results, video sequences