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http://dx.doi.org/10.5391/JKIIS.2009.19.1.001

Dynamic Facial Expression of Fuzzy Modeling Using Probability of Emotion  

Kang, Hyo-Seok (연세대학교 전기전자공학과)
Baek, Jae-Ho (연세대학교 전기전자공학과)
Kim, Eun-Tai (연세대학교 전기전자공학과)
Park, Mignon (연세대학교 전기전자공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.19, no.1, 2009 , pp. 1-5 More about this Journal
Abstract
This paper suggests to apply mirror-reflected method based 2D emotion recognition database to 3D application. Also, it makes facial expression of fuzzy modeling using probability of emotion. Suggested facial expression function applies fuzzy theory to 3 basic movement for facial expressions. This method applies 3D application to feature vector for emotion recognition from 2D application using mirror-reflected multi-image. Thus, we can have model based on fuzzy nonlinear facial expression of a 2D model for a real model. We use average values about probability of 6 basic expressions such as happy, sad, disgust, angry, surprise and fear. Furthermore, dynimic facial expressions are made via fuzzy modelling. This paper compares and analyzes feature vectors of real model with 3D human-like avatar.
Keywords
facial expression; mirror-reflected multi-image; facial feature point; 3D modeling; feature vector;
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