Abstract 3D face reconstruction of shape and skin texture from a single 2D image can be
performed using a 3D Morphable Model (3DMM) in an analysis-by-synthesis approach …

3D face reconstruction from a single 2D image can be performed using a 3D Morphable
Model (3DMM) in an analysis-by-synthesis approach. However, the reconstruction is an ill …

3D Morphable Face Models are a powerful tool in computer vision. They consists of a PCA
model of face shape and colour information and allow to reconstruct a 3D face from a single …

Direct reconstruction of 3D face shape—solely based on a sparse set of 2D feature points
localized by a facial landmark detector—offers an automatic, efficient and illumination …

Face analysis aims to extract valuable information from facial images. One effective
approach for face analysis is the analysis by synthesis. Accordingly, a new face image …

In this paper, we propose a novel fitting method that uses local image features to fit a 3D
Morphable Face Model to 2D images. To overcome the obstacle of optimising a cost function …

Pose-invariant face alignment is a very challenging problem in computer vision, which is
used as a prerequisite for many facial analysis tasks, eg, face recognition, expression …

Pose, illumination, expression and the generalization of such effects to unseen face data
samples are the fundamental problems faced in face recognition. The significant contribution …

Face analysis from 2D images and videos is a central task in many multimedia applications.
Methods developed to this end perform either face recognition or facial expression …

Abstract 3D Morphable Face Models (3DMM) have been used in face recognition for some
time now. They can be applied in their own right as a basis for 3D face recognition and …