3D Animated Movie Actor Training Using Fuzzy Logic


Compitter animation has come a long wav during the last decade and is now capable of producing nearrealistic rendered 30 computer graphics models of e.rpres.vive, talking, acting humanoids and other characters, inhabiting virtual worlds. However, the component of work that needs to be done bv animators and artists in producing rhese s.vnthetic character peflormances is quite significant. In this paper, we present an expert .s.ystem based on frczzv knowledge bases that helps in moving towards automating the task of animating virtual human heads and faces. Our Virtual Actor (Vactor) framework is based on several .sub.svstems that use main1.y f i tzzv and some non-jiuzzv rules to teach virtual actors to know the emotions and gestures to use in different situations. Theories of emotion, personality, dialogue, and acting, as well as empirical evidence are incorporated into our framework and knowledge bases to produce convincing

DOI: 10.1109/CGI.2001.934654

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@inproceedings{Karunaratne20013DAM, title={3D Animated Movie Actor Training Using Fuzzy Logic}, author={Savant Karunaratne and Hong Yan}, booktitle={Computer Graphics International}, year={2001} }