Camera Gesture Estimation for Confirming View Point of Virtual 3D Face Model

Camera gesture information is important for making virtual 3D face model synchronize to the real face at view point, in other areas such as: human-computer interface, 3D object estimation, automatic camera control etc. Camera gesture is also very important. In this paper, we will introduce an algorithm to detect camera gesture from a single face image, through our algorithm, camera rotation angles in both x-axis and y-axis and distance can be gained to confirm camera gesture. Then we can set the camera gesture information to view point of virtual 3D face model. This can make can make virtual 3D face model synchronize to the real face at view point. Experiment results demonstrate the validity of our algorithm and the correct estimation rate is accredited for applying it into practice.