An automated inspection system for textile fabrics based on Gabor filters
Robotics and Computer-Integrated Manufacturing
Analysis of head and facial gestures using facial landmark trajectories
BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
A robust elliptical head tracker
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
A graphical model based solution to the facial feature point tracking problem
Image and Vision Computing
Robust classification of face and head gestures in video
Image and Vision Computing
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
Combined online and offline information for tracking facial feature points
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part I
| Hi-index | 0.00 |
The work presents a method for automatic facial feature tracking in video sequences. In this method, a discrete face template is represented as a linear combination of continuous 2D odd-Gabor wavelet functions. The weights and 2D parameters (position, scale and orientation) of each wavelet are determined optimally so that the maximum amount of image information is preserved for a given number of wavelets. We have used this representation to achieve effective facial feature tracking that is robust to homogeneous illumination changes and affine deformations of the face image. Moreover, the tracking approach considers the overall geometry of the face, being robust to facial feature deformations such as eye blinking and smiling. The number of wavelets in the representation may be chosen with respect to the available computational resources, even allowing real time processing.