2Model-Based Image CodingModel-Based Image Coding•The transmitter and receiver both posses the same 3D face model and texture images.•During the session, at the transmitter the facial motion parameters: global and local, are extracted.•At the receiver the image is synthesized using estimated motion parameters.•The difference between synthesized and actual image can be transmitted as residuals.
3Candide ModelFace Model•Candide model has 108 nodes, 184 polygons.•Candide is a generic head and shoulder model. It needs to be conformed to a particular person’s face.•Cyberware scan gives head model consisting of 460,000 polygons.
has intentionally blurred sections.
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