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by Erika S. Chuang, Hrishikesh Deshp, Chris Bregler
In Proceedings of Pacific Graphics
http://graphics.stanford.edu/~echuang/doc/PG2002/pg-128_chuang_e_bw.pdf
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Abstract:
Animation of facial speech and expressions has experienced increased attention recently. Most current research focuses on techniques for capturing, synthesizing, and retargeting facial expressions. Little attention has been paid to the problem of controlling and modifying the expression itself. We present techniques that separate video data into expressive features and underlying content. This allows, for example, a sequence originally recorded with a happy expression to be modified so that the speaker appears to be speaking with an angry or neutral expression. Although the expression has been modified, the new sequences maintain the same visual speech content as the original sequence. The facial expression space that allows these transformations is learned with the aid of a factorization model. 1
Citations
|
965
|
Fundamentals of Speech Recognition
– Rabiner, Juang
- 1993
|
|
731
|
An information-maximization approach to blind separation and blind deconvolution
– Bell, Sejnowski
- 1995
|
|
677
|
Shape and motion from image streams under orthography: a factorization method
– Tomasi, Kanade
- 1992
|
|
650
|
Active Appearance Models
– Cootes, Edwards, et al.
- 1998
|
|
364
|
Eigentracking: Robust matching and tracking of articulated objects using a view-based representation', Int
– Black
- 1998
|
|
199
|
Coding, analysis, interpretation, and recognition of facial expressions
– Essa, Pentland
- 1997
|
|
153
|
Video rewrite: driving visual speech with audio
– BREGLER, COVELL, et al.
- 1997
|
|
115
|
Generative models for discovering sparse distributed representations
– Hinton, Ghahramani
- 1997
|
|
95
|
Autoencoders, minimum description length, and Helmholtz free energy
– Hinton, Zemel
- 1994
|
|
73
|
Separating style and content with bilinear models
– Tenenbaum, Freeman
- 2000
|
|
71
|
Performance-Driven Facial Animation
– Williams
- 1990
|
|
50
|
Linear models of surface and illuminant spectra
– Marimont, Wandell
- 1992
|
|
40
|
Separating style and content
– Tenenbaum, Freeman
- 1997
|
|
24
|
Facial Action Coding System: A Technique for the Measurement of Facial Movement. Consulting Psychologists
– Ekman, Friesen
- 1978
|
|
16
|
Model-Aided Coding: A New Approach to Incorporate Facial Animation into Motion-Compensated Video Coding
– Eisert, Wiegand, et al.
- 2000
|
|
8
|
Animated conversation: rule-based generation of facial display, gesture and spoken intonation for multiple conversational agents
– Cassell, Pelachaud, et al.
- 1994
|
|
5
|
Modeling, Tracking and Interactive Animation of Facial Expressions and Head Movements using Input from Video
– Essa, Basu
- 1996
|
|
5
|
A MultiMethod Approach for Discriminating Between Similar Facial Expressions, Including Expression Intensity Estimation
– Lien, Kanade, et al.
- 1998
|
|
5
|
SALESIN D.: Synthesizing realistic facial expressions from photographs
– PIGHIN, HECKER, et al.
- 1998
|
|
4
|
Animation of Synthetic Faces in MPEG-4", Computer Animation
– Ostermann
- 1998
|
|
2
|
Ying-Qing Xu, Eric Chang, HeungYeung Shum, “Speech-Driven eCartoon Animation with Emotions
– Li, Yu
- 2001
|
|
1
|
Factorial learning and the EM algorithm.” Advances in neural information processing systems 7, pp 617624
– Ghahramani
- 1995
|
|
1
|
Multivariate Analysis
– Marida, Bibby, et al.
- 1979
|
|
1
|
Motion Capture Assisted Animation: Texturing
– Pullen, Bregler
- 2002
|
|
1
|
Analysis and synthesis of facia l image sequences using physical and anatomical models
– Terzopoulus, Walters
- 1993
|
|
1
|
Cohn , " Recognizing Action Units for Facial Expression Analysis
– Tian, Kanade, et al.
- 2001
|
