This article devises a photograph-based monitoring model to estimate the real-time PM 2.5
concentrations, overcoming currently popular electrochemical sensor-based PM 2.5 …

The performance of many state-of-the-art deep face recognition models deteriorates
significantly for images captured under low illumination, mainly because the features of dim …

Advancement in computer technology has made possible to evoke new video processing
applications in field of biometric face detection and recognition. It has wide range of …

This paper proposes a novel method called local-gravity-face (LG-face) for illumination-
invariant and heterogeneous face recognition (HFR). LG-face employs a concept called the …

Illumination processing is a challenging task in face recognition. Although numerous
techniques have been proposed to tackle this problem, none of them can achieve high …

This paper presents a new facial feature descriptor called Fused Cross Lattice Pattern of
Phase Congruency (FCLPPC) for high accuracy, homogeneous and heterogeneous …

Face recognition under illumination is really challenging. This paper proposes an effective
method to produce illumination-invariant features for images with various levels of …

The deep learning feature is the best for face recognition nowadays, but its performance
exhibits unsatisfactorily under severe illumination variations. The main reason is that the …

A novel illumination normalisation (IN) method using a convolutional neural network (CNN)
is proposed. The proposed network is composed of the local pattern extraction (LPE) and …

This paper models the driver face recognition problem under the intelligent traffic monitoring
systems as severe illumination variation face recognition with single sample problem. Firstly …