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 …

Single sample face recognition (SSFR) is a challenging research problem in which only one
face image per person is available for training. Moreover, the face image may have different …

Discriminant analysis methods are powerful tools for face recognition. However, these
methods cannot be used for the single sample per person scenario because the within …

In this paper we present a novel pose and expression invariant approach for 3D face
registration based on intrinsic coordinate system characterized by nose tip, horizontal nose …

This study examines the performance of person‐independent facial expression recognition
improved by adapting the system to a given person. The proposed method transfers the style …

This paper presents a statistical face recognition algorithm by expressing face images in
terms of orthogonal two-dimensional Gaussian-Hermite moments (2D-GHMs). Motivation for …

Personal style is the cause of interpersonal variations, which play an important role in facial
expression recognition. In this study, a model has been proposed to generate diverse …

Inter-subject variability plays an important role in the performance of facial expression
recognition. Therefore, several methods have been developed to bring the performance of a …

This work presents a novel methodology for the transformation of facial expressions, to
assist face biometrics. It is known that identification using only one image per subject poses …

Since the geometry of the face changes drastically under expression variation, it is one of
the greatest challenges in 3D face recognition to design systems that are robust to this …