Presentation 1997/11/20
Facial tracking and reconstruction based facial muscle model
Takahiro ISHIKAWA, Kazuhiko YAZAKI, Hajime SERA, Shigeo MORISHIMA,
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Abstract(in English) Muscle based face image synthesis is one of the most realistic approach to realize life-like agent in computer. Facial muscle model is composed of facial tissue elements and muscles. In this model, forces are calculated effecting facial tisssue element by contraction of each muscle strength, so the combination of each muscle parameter decide a specific facial expression. Now each muscle parameter is decided on trial and error procedure comparing the sample photograph and generated image using our Muscle-Editor to generate a specific face image. In this paper, we propose the strategy of automatic estimation of facial muscle parameters from movements of facial expression using neural network. This corresponds to the non-realtime 3D facial motion tracking from 2D image under the physics based condition.
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Keyword(in English) facial muscle model / neural network
Paper # HIP97-16
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Committee HIP
Conference Date 1997/11/20(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Facial tracking and reconstruction based facial muscle model
Sub Title (in English)
Keyword(1) facial muscle model
Keyword(2) neural network
1st Author's Name Takahiro ISHIKAWA
1st Author's Affiliation Seikei University()
2nd Author's Name Kazuhiko YAZAKI
2nd Author's Affiliation Seikei University
3rd Author's Name Hajime SERA
3rd Author's Affiliation Seikei University
4th Author's Name Shigeo MORISHIMA
4th Author's Affiliation Seikei University
Date 1997/11/20
Paper # HIP97-16
Volume (vol) vol.97
Number (no) 388
Page pp.pp.-
#Pages 8
Date of Issue