Face Transfer with Multilinear Models

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Face Transfer with Multilinear Models (2005)

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by Daniel Vlasic , Matthew Brand , Hanspeter Pfister , Jovan Popović

Venue:	TO APPEAR IN SIGGRAPH 2005
Citations:	145 - 3 self

BibTeX

@MISC{Vlasic05facetransfer,
    author = {Daniel Vlasic and Matthew Brand and Hanspeter Pfister and Jovan Popović},
    title = {Face Transfer with Multilinear Models},
    year = {2005}
}

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Abstract

Face Transfer is a method for mapping videorecorded performances of one individual to facial animations of another. It extracts visemes (speech-related mouth articulations), expressions, and three-dimensional (3D) pose from monocular video or film footage. These parameters are then used to generate and drive a detailed 3D textured face mesh for a target identity, which can be seamlessly rendered back into target footage. The underlying face model automatically adjusts for how the target performs facial expressions and visemes. The performance data can be easily edited to change the visemes, expressions, pose, or even the identity of the target—the attributes are separably controllable. This supports

Keyphrases

face transfer multilinear model monocular video target footage film footage videorecorded performance underlying face model textured face mesh performance data facial expression target identity facial animation speech-related mouth articulation

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