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Research And Realization Of Facial Animation Synthesis

Posted on:2011-05-28Degree:MasterType:Thesis
Country:ChinaCandidate:N ZhangFull Text:PDF
GTID:2178360302499080Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
Facial Animation Synthesis is a hot research topic in the fields of Computer Vision and Computer Graphics. It has a very wide range of applications, such as video production, medical research, virtual meetings, virtual host and so on.Because the location, size and proportion of facial features vary greatly from person to person, if motion parameters are employed directly to drive the face model without adjustments, we may get expressions which are inconsistent with the real face, or even the strange ones. Therefore, it is necessary to make appropriate adjustments in the motion parameters of different types of face to obtain more natural expressions. The main research contents are as follows:1. The feature points on the face in the video are detected at first. And then the facial motion parameters are obtained.2. In this paper, the face model is divided into some function partitions in accordance with certain principles. Then the movement factors of the various control points on the face model are obtained manually. The animation units AU of every divided function are obtained by using the motion parameters and movement factors of the various control points. The coordinates of the features are modified in order to get rid of errors which are caused by shaking of head. Ultimately, the video-driven facial animation is achieved.3. In order to obtain a better facial animation when different types of facial videos drive the face model, the global transformation, local transformation, and FAPU transformation are employed. Experimental results show that the satisfactory animation nearly has been obtained when all the experimenters'videos drive the standard face model after using the three kinds of transformation.
Keywords/Search Tags:Face Model, Facial Animation Synthesis, Candide-3, Video-driven
PDF Full Text Request
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