The locations of the fiducial facial landmark points around facial components and facial
contour capture the rigid and non-rigid facial deformations due to head movements and …

We propose a new algorithm to detect facial points in frontal and near-frontal face images. It
combines a regression-based approach with a probabilistic graphical model-based face …

Automatic extraction of fiducial facial points is one of the key steps to face tracking,
recognition, and animation. Great facial variations, especially pose or viewpoint changes …

The spatial and temporal patterns inherent in facial feature points are crucial for facial
landmark tracking, but have not been thoroughly explored yet. In this paper, we propose a …

Facial feature points such as eyebrows, eyes, nose and mouth are prominent landmarks
surrounding facial components. They depicts critical information about facial expression and …

This paper introduces a regression method called Privileged Information (PI)-based
Conditional Structured Output Regression Forest (RF) for facial point detection. To train RF …

Current work of facial landmark tracking usually requires large amounts of fully annotated
facial videos to train a landmark tracker. To relieve the burden of manual annotations, we …

This paper presents a simple, yet very effective approach to measure the three types of
rotation angles by the method of imaging analysis. This approach is suitable for many actual …

Circular feature has been widely applied in recognising moving object and estimating its
position and orientation. Based on the principle of perspective projection, the rotational …

This paper proposes a framework to track a face in multi-view uncontrolled color video
sequences. The method combines Gabor responses with missing observation Kalman filter …