Name
Abstract | ||
|---|---|---|
Computer facial animation still remains a very challenging topic within the computer graphics community. In this paper, a realistic and expressive computer facial animation system is developed by automated learning from Vicon Nexus facial motion capture data. Facial motion data of different emotions collected using Vicon Nexus are processed using dimensionality reduction techniques such as PCA and EMPCA. EMPCA was found to best preserve the originality of the data the most compared with other techniques. Ultimately, the emotions data are mapped to a 3D animated face, which produced results that clearly show the motion of the eyes, eyebrows, and lips. Our approach used data captured from a real speaker, resulting in more natural and lifelike facial animations. This approach can be used for various applications and serve as prototyping tool to automatically generate realistic and expressive facial animation. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CW.2010.49 | CW |
Keywords | Field | DocType |
emotions data,facial animation system,facial emotions,vicon nexus,expressive facial animation,computer facial animation,computer graphics community,expressive computer,facial motion data,computer animation,lifelike facial animation,facial motion capture data,principal component analysis,data mapping,face recognition,facial animation,dimensionality reduction,data capture,speech,computational modeling,3d animation,face,computer graphic | Facial recognition system,Computer vision,Dimensionality reduction,Computer science,Data mapping,Originality,Computer facial animation,Artificial intelligence,Computer animation,Computer graphics,Multimedia,Facial motion capture | Conference |
Citations | PageRank | References |
1 | 0.35 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Choong Seng Chan | 1 | 1 | 0.35 |
| Flora S. Tsai | 2 | 352 | 23.96 |