Analyzing Facial Expressions for Virtual Conferencing
IEEE Computer Graphics and Applications
3-D Motion Estimation in Model-Based Facial Image Coding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Facial expression recognition using a dynamic model and motion energy
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Estimation of Rigid and Non-Rigid Facial Motion Using Anatomical Face Model
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Modeling continuous shape change for facial animation
Statistics and Computing
Adaptive alpha-trimmed mean filters under deviations from assumed noise model
IEEE Transactions on Image Processing
| Hi-index | 0.00 |
Investigation of the motion performed by a person's face while speaking is the target of this paper. Methods and results of the studied facial motions are presented and rigid and non-rigid motion are analyzed. In order to extract only facial deformation independent from head pose, we use a new and simple approach for separating rigid and non-rigid motion called Weight Compensated Motion Estimation (WCME). This approach weights the data points according to their influence to the desired motion model. A synthetic test as well as real data are used to demonstrate the performance of this approach. We also present results in the field of facial deformation analysis and used basis shapes as description form. These results can be used for recognition purposes by adding temporal changes to the overall process or adding natural deformations other than at the given database.