Presentation 1997/3/19
A Study of Transformation of Facial Expressions Based on Expression Recognition from Temporal Image Sequences
Takahiro Otsuka, Jun Ohya,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) A method is proposed by which a facial expression on one's face is transformed to that on other person's face. In this method, the probabilities of muscle states (static, contracting, ending) are computed for each frame of an image sequence based on Hidden Markov models (HMM) trained for each expression. Then, the 3D wire-frame model is modified in proportion to the probabilities of the contraction state. We obtained good results from the experiment in which the six principal facial expressions (anger, disgust, fear, happiness, sadness, and surprise) were transformed.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Facial expression recognition / Facial animation / 3D model / Image sequence processing / HMM
Paper # PRMU96-202
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Conference Information
Committee PRMU
Conference Date 1997/3/19(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study of Transformation of Facial Expressions Based on Expression Recognition from Temporal Image Sequences
Sub Title (in English)
Keyword(1) Facial expression recognition
Keyword(2) Facial animation
Keyword(3) 3D model
Keyword(4) Image sequence processing
Keyword(5) HMM
1st Author's Name Takahiro Otsuka
1st Author's Affiliation ATR Media Integration & Communications Research Laboratories()
2nd Author's Name Jun Ohya
2nd Author's Affiliation ATR Media Integration & Communications Research Laboratories
Date 1997/3/19
Paper # PRMU96-202
Volume (vol) vol.96
Number (no) 599
Page pp.pp.-
#Pages 6
Date of Issue