Three-dimensional (3D) face recognition has been extensively investigated in the last two
decades due to its wide range of applications in many areas, such as security and forensics …

This paper reports an exhaustive analysis of the discriminative power of the different regions
of the human face on various forensic scenarios. In practice, when forensic examiners …

The common approach for 3D face recognition is to register a probe face to each of the
gallery faces and then calculate the sum of the distances between their points. This …

Facial expression is an important channel for human nonverbal communication. This paper
presents a novel and effective approach to automatic 3D/4D facial expression recognition …

Face recognition is being widely accepted as a biometric technique because of its non-
intrusive nature. Despite extensive research on 2-D face recognition, it suffers from poor …

In this paper, we propose a 3D-2D framework for face recognition that is more practical than
3D-3D, yet more accurate than 2D-2D. For 3D-2D face recognition, the gallery data …

We utilize ideas from two growing but disparate ideas in computer vision-shape analysis
using tools from differential geometry and feature selection using machine learning-to select …

Recognition of facial expressions plays an important role in understanding human behavior,
classroom assessment, customer feedback, education, business, and many other human …

Facial expression analysis has interested many researchers in the past decade due to its
potential applications in various fields such as human–computer interaction, psychological …

Existing 3D face recognition algorithms have achieved high enough performances against
public datasets like FRGC v2, that it is difficult to achieve further significant increases in …