Constrained Phase---Based Personalized Facial Feature Tracking
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
An efficient 3d head pose inference from videos
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Facial expression recognition using nonrigid motion parameters and shape-from-shading
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
A real-time framework for eye detection and tracking
Journal of Real-Time Image Processing
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In this paper, a robust technique is proposed to detect and track a set of twenty-eight prominent facial features under various facial expressions and face orientations in real-time. Specifically, after the face image is captured from the camera, a trained face mesh is first employed to estimate a rough position for each facial feature based on the located eye positions. Subsequently, an accurate position is obtained for each facial feature by searching around its roughly estimated position. Once the facial features are located, by using the appearance information of each facial feature together with the geometry information among the facial features, a shape-constrained correction-based tracking mechanism is activated to track them in the subsequent image frames. Finally, the performance of the proposed technique is demonstrated through building a real-time facial feature tracking system that can detect and track a set of twenty-eight facial features automatically as soon as a person is sitting in front of the camera.