Human emotion recognition through artificial intelligence is one of the most popular
research fields among researchers nowadays. The fields of Human Computer Interaction …

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 …

Face recognition is one of the most important abilities that we use in our daily lives. There
are several reasons for the growing interest in automated face recognition, including rising …

One of the main modules in a face recognition system is feature extraction, which has a
significant effect on the whole system performance. In the past decades, various types of …

In the past ten years, research on face recognition has shifted to using 3D facial surfaces, as
3D geometric information provides more discriminative features. This comprehensive survey …

Registration algorithms performed on point clouds or range images of face scans have been
successfully used for automatic 3D face recognition under expression variations, but have …

Despite the existence of various biometric techniques, like fingerprints, iris scan, as well as
hand geometry, the most efficient and more widely-used one is face recognition. This is …

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 …

High performance for face recognition systems occurs in controlled environments and
degrades with variations in illumination, facial expression, and pose. Efforts have been …

Abstract 3D face recognition with the availability of only partial data (missing parts,
occlusions and data corruptions) and single training sample is a highly challenging task …