Tracking Facial Feature Points with GaborWavelets and Shape

Analysis and Synthesis of Facial Expressions by Feature-Points Tracking and Deformable Model

Face expression recognition is useful for designing new interactive devices offering the possibility of new ways for human to interact with computer systems. In this paper we develop a facial expressions analysis and synthesis system. The analysis part of the system is based on the facial features extracted from facial feature points (FFP) in frontal image sequences. Selected facial feature poi...

Tra king Fa ial Feature Points with GaborWavelets and Shape

Tracking Facial Feature Points with Gabor Wavelets and Shape Models

A feature-based approach to tracking rigid and non-rigid facial motion is described. Feature points are characterised using Gabor wavelets and can be individually tracked by phase-based displacement estimation. In order to achieve robust tracking a exible shape model is used to impose global constraints upon the local feature points and to constrain the tracker. While there are many application...

Tracking of Facial Feature Points by Combining Singular Tracking Results with a 3D Active Shape Model

Accurate 3D tracking of facial feature points from one monocular video sequence is appealing for many applications in human-machine interaction. In this work facial feature points are tracked with a Kanade-LucasTomasi (KLT) feature tracker and the tracking results are linked with a 3D Active Shape Model (ASM). Thus, the efficient Gauss-Newton method is not solving for the shift of each facial f...

Robust facial feature tracking under varying face pose and facial expression

This paper presents a hierarchical multi-state pose-dependent approach for facial feature detection and tracking under varying facial expression and face pose. For effective and efficient representation of feature points, a hybrid representation that integrates Gabor wavelets and gray-level profiles is proposed. To model the spatial relations among feature points, a hierarchical statistical fac...