defines one primary direction. Second, the expression recognition system uses the 15 feature vectors for facial ex-This paper introduces an automatic facial expression recognition system which consists of two parts: facial feature extraction pression categorization. He showed an accuracy rate of and
Facial animation parameters extraction and expression recognition using Hidden Markov Models
✍ Scribed by Montse Pardàs; Antonio Bonafonte
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 438 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0923-5965
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