Name
Abstract | ||
|---|---|---|
This paper presents a physically-based 3D facial model based on anatomical knowledge for facial expression animation. The facial model incorporates a physically-based approximation to facial skin and a set of anatomically motivated facial muscles. The skin model is established through the use of a mass-spring system, with nonlinear Springs which simulate the elastic dynamics of a real facial skin. Muscle models are developed to emulate facial muscle contraction. Lagrangian mechanics governs the dynamics, dictating the deformation of facial surface in response to muscular forces. We show that when surface regions influenced by the large muscular force, the local deformation becomes inaccurate. The conventional method to deal with this problem is using a fine network, but it also increases the cost of computation. We present therefore an approach to adaptively refining the mass-spring facial model to a required accuracy. It generates more pleasing results at low computational expense. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/CA.2001.982374 | COMPUTER ANIMATION 2001, PROCEEDINGS |
Field | DocType | ISSN |
Lagrangian mechanics,Computer vision,Adaptive system,Computer science,Facial expression,Facial muscles,Artificial intelligence,Computer facial animation,Animation,Computer animation,Computation | Conference | 1087-4844 |
Citations | PageRank | References |
7 | 0.72 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Zhang | 1 | 7 | 0.72 |
| Edmond C. Prakash | 2 | 102 | 14.60 |
| Eric Sung | 3 | 10 | 1.49 |