Facial image reconstruction by estimated muscle parameter

Takahiro Ishikawa, Hajime Sera, Shigeo Morishima, Demetri Terzopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

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 tissue 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 2D marker movements using neural network. This corresponds to the non-realtime 3D facial motion tracking from 2D image under the physics based condition.

Original languageEnglish
Title of host publicationProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
PublisherIEEE Computer Society
Pages342-347
Number of pages6
ISBN (Print)0818683449, 9780818683442
DOIs
Publication statusPublished - 1998 Jan 1
Externally publishedYes
Event3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 - Nara, Japan
Duration: 1998 Apr 141998 Apr 16

Publication series

NameProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998

Conference

Conference3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
CountryJapan
CityNara
Period98/4/1498/4/16

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Ishikawa, T., Sera, H., Morishima, S., & Terzopoulos, D. (1998). Facial image reconstruction by estimated muscle parameter. In Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 (pp. 342-347). [670972] (Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998). IEEE Computer Society. https://doi.org/10.1109/AFGR.1998.670972