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 …

This paper presents a comprehensive survey of facial feature point detection with the
assistance of abundant manually labeled images. Facial feature point detection favors many …

Despite recent advances in face recognition using deep learning, severe accuracy drops are
observed for large pose variations in unconstrained environments. Learning pose-invariant …

We present a practical approach to address the problem of unconstrained face alignment for
a single image. In our unconstrained problem, we need to deal with large shape and …

Deep neural networks (DNNs) trained on large-scale datasets have recently achieved
impressive improvements in face recognition. But a persistent challenge remains to develop …

Face alignment aims to estimate the locations of a set of landmarks for a given image. This
problem has received much attention as evidenced by the recent advancement in both the …

We propose a novel cascaded framework, namely deep deformation network (DDN), for
localizing landmarks in non-rigid objects. The hallmarks of DDN are its incorporation of …

We introduce the concept of unconstrained real-time 3D facial performance capture through
explicit semantic segmentation in the RGB input. To ensure robustness, cutting edge …

In this chapter we consider the problem of automatic facial expression analysis. Our take on
this is that the field has reached a point where it needs to move away from considering …

Face alignment or facial landmark detection plays an important role in many computer vision
applications, eg, face recognition, facial expression recognition, face animation, etc …