Abstract 3D face recognition (3DFR) has emerged as an effective means of characterizing
facial identity over the past several decades. Depending on the types of techniques used in …

Recently, a lot of attention has been focused on the incorporation of 3D data into face
analysis and its applications. Despite providing a more accurate representation of the face …

In this work we propose a novel model-based deep convolutional autoencoder that
addresses the highly challenging problem of reconstructing a 3D human face from a single …

We present a deep learning-based technique to infer high-quality facial reflectance and
geometry given a single unconstrained image of the subject, which may contain partial …

Face alignment and 3D face reconstruction are traditionally accomplished as separated
tasks. By exploring the strong correlation between 2D landmarks and 3D shapes, in contrast …

In this work, we propose a novel model-based deep convolutional autoencoder that
addresses the highly challenging problem of reconstructing a 3D human face from a single …

Abstract 3D face reconstruction is the most captivating topic in biometrics with the advent of
deep learning and readily available graphical processing units. This paper explores the …

In this paper, a novel 3D face reconstruction technique is proposed along with a sequential
deep learning-based framework for face recognition. It uses the voxels generated from the …

Face synthesis has been a fascinating yet challenging problem in computer vision and
machine learning. Its main research effort is to design algorithms to generate photo-realistic …

Mugshots while routinely acquired by law enforcement agencies are under utilized by
automated face recognition systems. In this paper, we propose a regression based …