TY - GEN
T1 - 3D estimation of facial muscle parameter from the 2D marker movement using neural network
AU - Ishikawa, Takahiro
AU - Sera, Hajime
AU - Morishima, Shigeo
AU - Terzopoulos, Demetri
N1 - Publisher Copyright:
© 1997, Springer Verlag. All rights reserved.
PY - 1997
Y1 - 1997
N2 - 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 2D marker movements using neural network. This corresponds to the non-reattime 3D facial motion tracking from 2D image under the physics based condition.
AB - 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 2D marker movements using neural network. This corresponds to the non-reattime 3D facial motion tracking from 2D image under the physics based condition.
UR - http://www.scopus.com/inward/record.url?scp=84947599513&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84947599513&partnerID=8YFLogxK
U2 - 10.1007/3-540-63931-4_276
DO - 10.1007/3-540-63931-4_276
M3 - Conference contribution
AN - SCOPUS:84947599513
SN - 3540639314
SN - 9783540639312
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 671
EP - 678
BT - Computer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings
A2 - Chin, Roland
A2 - Pong, Ting-Chuen
PB - Springer Verlag
T2 - 3rd Asian Conference on Computer Vision, ACCV 1998
Y2 - 8 January 1998 through 10 January 1998
ER -