Automatic affect analysis has attracted great interest in various contexts including the
recognition of action units and basic or non-basic emotions. In spite of major efforts, there …

Abstract Facial Expression Recognition (FER) plays the vital role in the Human Computer
Interface (HCI) applications. The illumination and pose variations affect the FER adversely …

Visible–infrared cross-modality person re-identification (VI-ReId) is an essential task for
video surveillance in poorly illuminated or dark environments. Despite many recent studies …

A dynamic descriptor facilitates robust recognition of facial expressions in video sequences.
The current two main approaches to the recognition are basic emotion recognition and …

Human action recognition is a fundamental and challenging building block for many
computer vision applications. It has been included in many applications such as: video …

In this paper, we propose to use local Zernike Moments (ZMs) for facial affect recognition
and introduce a representation scheme based on performing non-linear encoding on ZMs …

In this work, we proposed a novel method, called Local Modified Zernike Moment per unit
Mass (LMZMPM), for face recognition, which is invariant to illumination, scaling, noise, in …

Finger knuckle print (FKP) as a physiological trait with a small image dimension, also a
highly distinctive pattern, can be used as a reliable biometric identifier. In this paper, a new …

In this paper, we present a novel dense local image representation method called Local
Walsh Transform (LWT) by applying the well-known Walsh Transform (WT) to each pixel of …

In this study, we propose a face recognition scheme using local Zernike moments (LZM),
which can be used for both identification and verification. In this scheme, local patches …