The features of a face can change drastically as the illumination changes. In contrast to pose
position and expression, illumination changes present a much greater challenge to face …

Retinal image quality assessment (RIQA) is an essential step in automated screening
systems to avoid misdiagnosis caused by processing poor quality retinal images. A no …

Lighting variations are a challenge in face recognition. To overcome this problem, this paper
proposes a novel illumination compensation method called adaptive singular value …

Tackling illumination variation is a major problem and it is also an important challenge for
practical face recognition systems. Some related methods consider that lighting intensity …

A novel view-based subspace termed as hybrid-eigenspace is introduced and used to
synthesize multiple virtual views of a person under different pose and illumination from a …

In order to alleviate the effect of illumination variations on face recognition, a novel face
recognition algorithm based on illumination invariant in nonsubsampled contourlet transform …

Recognizing face images across pose is one of the challenging tasks for reliable face
recognition. This paper presents a new method to tackle this challenge based on orthogonal …

This paper discusses the momentum gradient dependent on the convolutional neural
organization's strong point. It is a new methodology introduced to detect evenness in the …

Haze is an obvious phenomenon in the underwater scenario. The scene visibility reduces to
a great extent due to haze, which makes the underwater visual surveillance quite a …

In this paper, Histograms of Oriented Gradients dependent on the strong point of
convolutional neural organization which is new methodology for evenness face data set, is …