Estimation Of Rigid And Non-Rigid Facial Motion Using Anatomical Face Model
We present a model-based approach to recover the rigid and non-rigid facial motion parameters in video sequences. Our face model is based on anatomically motivated muscle actuator controls to model the articulated non-rigid motion of a human face. The model is capable of generating a variety of facial expressions by using a small number of muscle actuator controls. We estimate rigid and non-rigid parameters in two steps. First, we use a multi-resolution scheme to recover the global 3D rotation and translation by linear least square minimization. Then, we estimate the muscle actuator controls using the Levenberg-Marquardt minimization technique applied to a function, which is constrained by both optical flow and the dynamics of the deformable model. We present the results of our system on both real and synthetic images. © 2002 IEEE.
Proceedings - International Conference on Pattern Recognition
Number of Pages
Source API URL
Yilmaz, Alper; Shafique, Khurram; and Shah, Mubarak, "Estimation Of Rigid And Non-Rigid Facial Motion Using Anatomical Face Model" (2002). Scopus Export 2000s. 2282.