THESIS

 
THESIS
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THESIS

FITTING  ACTIVE CONTOUR MODEL TO FACES IN 

VIDEOPHONE SCENES (Snake Algorithms, Neural Network, Digital Avatar,Deep Fake, Synthetic Media,Computer Vision,)

This thesis presents an alternative approach to  Teleconferencing Systems and refers to a system which uses a face sequence as input for animation of a wireframe model.  The system exploits a  general model of human face originally developed for realistic facial animation.  The visual observation is achieved by using active contour models as snakes which work reciprocally with a  physical model describing facial ex­pression. The active contours serve to track the nonrigid motions of facial features and solve the correspondence problem of 3-D  motion estimation. The 3-D rigid motion parameters are estimated by a  neural network that is trained using backpropagation algorithm. This system uses  wireframe models and  provides the imitation of a face  se­quence based upon the facial expression and  3-D  rigid  motion parameters estimation

 

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