원문정보
Emotion Classification through Facial Recognition
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
It is difficult to define and classify human emotion. These vague human emotion appear not in single emotion, but in combination of various emotion. This paper proposes a emotional expression algorithm using Active Appearance Model(AAM) and Fuzz k- Nearest Neighbor which give facial expression in similar with vague human emotion. Applying Mahalanobis distance on the center class, determine inclusion level between center class and each class. Also following inclusion level, appear intensity of emotion. Our emotion recognition system can recognize a complex emotion using Fuzzy k-NN classifier.
목차
Abstract
I. 서론
II. Active Appearance Model(AAM)
1. Shape Model
2. Appearance Model
3. AAM 모델 Fitting
III. 감성 분류
1. Fuzzy k-NN
IV. 감성 분류 모델링
V. 결론 및 향후 과제
감사의 글
참고문헌
I. 서론
II. Active Appearance Model(AAM)
1. Shape Model
2. Appearance Model
3. AAM 모델 Fitting
III. 감성 분류
1. Fuzzy k-NN
IV. 감성 분류 모델링
V. 결론 및 향후 과제
감사의 글
참고문헌
저자정보
참고문헌
자료제공 : 네이버학술정보