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  A General Framework for Efficient 2D and 3D Facial Expression Analogy

Song, M., Dong, Z., Theobalt, C., Wang, H., Liu, Z., & Seidel, H.-P. (2007). A General Framework for Efficient 2D and 3D Facial Expression Analogy. IEEE Transactions on Multimedia, 9(7), 1384-1395. doi:10.1109/TMM.2007.906591.

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 Creators:
Song, Mingli1, Author
Dong, Zhao2, Author           
Theobalt, Christian2, 3, Author                 
Wang, Huiqiong1, Author
Liu, Zicheng1, Author
Seidel, Hans-Peter2, Author                 
Affiliations:
1External Organizations, ou_persistent22              
2Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
3Programming Logics, MPI for Informatics, Max Planck Society, ou_40045              

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 Abstract: Facial expression analogy provides computer animation
professionals with a tool to map expressions of an arbitrary
source face onto an arbitrary target face. In the recent past,
several algorithms have been presented in the literature that aim
at putting the expression analogy paradigm into practice. Some
of these methods exclusively handle expression mapping between
3D face models, while others enable the transfer of expressions
between images of faces only. None of them, however, represents
a more general framework that can be applied to either of
these two face representations. In this paper, we describe a
novel generic method for analogy-based facial animation that
employs the same efficient framework to transfer facial
expressions between arbitrary 3D face models, as well as between
images of performer’s faces. We propose a novel geometry encoding
for triangle meshes, vertex-tent-coordinates, that enables us to
formulate expression transfer in the 2D and the 3D case as a
solution to a simple system of linear equations. Our experiments
show that our method outperforms many previous analogy-based
animation approaches in terms of achieved animation quality,
computation time and generality.

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Language(s): eng - English
 Dates: 2008-02-282007
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 356541
DOI: 10.1109/TMM.2007.906591
Other: Local-ID: C12573CC004A8E26-1A5AA9E45D0E4FA8C125731A00516457-SDC*2007
BibTex Citekey: Song-et-al_TM07
 Degree: -

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Title: IEEE Transactions on Multimedia
Source Genre: Journal
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Publ. Info: Piscataway, NJ : Institute of Electrical and Electronics Engineers
Pages: - Volume / Issue: 9 (7) Sequence Number: - Start / End Page: 1384 - 1395 Identifier: ISSN: 1520-9210
CoNE: https://pure.mpg.de/cone/journals/resource/958480152016