An observation based muscle model for simulation of facial expressions
Yükleniyor...
Dosyalar
Tarih
2018-05
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science BV
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study presents a novel facial muscle model for coding of facial expressions. We derive this model from unintrusive observation of human subjects in the progress of the surprise expression. We use a generic and single-layered face model which embeds major muscles of the human face. This model is customized onto the human subject's face on the first frame of the video. The last frame of the video is used to project a set of manually marked feature points to estimate the 3 dimensional displacements of vertices due to facial expression. Vertex displacements are used in a mass spring model to estimate the external forces, i.e. the muscle forces on the skin. We observed that the distribution of muscle forces resemble sigmoid or hyperbolic tangent functions. We chose hyperbolic tangent function as our base model and parameterized it using least squares. We compared the proposed muscle model with frequently used models in the literature.
Açıklama
Anahtar Kelimeler
Face anatomy, Muscle model, Facial expression, Virtual human, Deformations, Recognition, Face, Animation, Surgery, Extraction, Anatomy
Kaynak
Signal Processing: Image Communication
WoS Q Değeri
Q2
Scopus Q Değeri
Q2
Cilt
64
Sayı
Künye
Erkoç, T., Ağdoğan, D. & Eskil, M. T. (2018). An observation based muscle model for simulation of facial expressions. Signal Processing: Image Communication, 64, 11-20. doi:10.1016/j.image.2018.02.009
