In this paper, we propose a novel Bayesian approach to modelling temporal transitions of
facial expressions represented in a manifold, with the aim of dynamical facial expression …

To enable real-time, person-independent 3D registration from 2D video, we developed a 3D
cascade regression approach in which facial landmarks remain invariant across pose over a …

There has been a flurry of works on video sequence-based face recognition in recent years.
One of the hard problems in this area is how to effectively combine the facial configuration …

3D face modeling from 2D face images is of significant importance for face analysis,
animation and recognition. Previous research on this topic mainly focused on 3D face …

This paper proposes a pose-robust face tracking and facial expression recognition method
using a view-based 2D + 3D active appearance model (AAM) that extends the 2D + 3D AAM …

In this paper, we explore region-based 3D representations of the human face. We begin by
noting that although they serve as a key ingredient in many state-of-the-art 3D face …

In this paper, we develop a novel framework for 3D tracking of the non-rigid face deformation
from a single camera. The difficulty of the problem lies in the fact that 3D deformation …

Facial feature extraction is important in many face-related applications, such as face
alignment for recognition. We propose a multimodal scheme to integrate 3D (range) and 2D …

Cascaded regression has been recently applied to reconstruct 3D faces from single 2D
images directly in shape space, and has achieved state-of-the-art performance. We …

In this paper, we consider fitting a 3D deformable face model to continuous video sequences
for the tasks of tracking and training. We propose two appearance-based methods that only …