Image representation is an important process in image classification, and there are many
different methods for representing images. HOG (Histograms of Oriented Gradients) is a …

Face recognition has been a long standing problem in computer vision. Recently,
Histograms of Oriented Gradients (HOGs) have proven to be an effective descriptor for …

Histogram of oriented gradients (HOG) descriptor was initially applied to human detection
and achieved great success. In recent years, HOG descriptor has also been applied to face …

A multiscale approach to exploiting existing image descriptors (LBP and HOG) is proposed
recently in order to enhance face recognition performance (Ubiquitous computing and …

Recently, Histogram of Oriented Gradient (HOG) is applied in face recognition. In this paper,
we apply Co-occurrence of Oriented Gradient (CoHOG), which is an extension of HOG, on …

The histogram of oriented gradient has been successfully applied in many research fields
with excellent performance especially in pedestrian detection. However, the method has …

Efficient face descriptors require a careful equilibration between accuracy and feature
dimension. In recent years Histogram of Oriented Gradient (HOG) starts to be used in the …

The efficient face recognition systems are those which are able to achieve higher
recognition rate with lower computational cost. To develop such systems both feature …

In order to achieve effective expression of the facial features in complex environment, an
improved face recognition method of histograms of oriented gradients (HOG) is proposed …

In this paper, we propose a novel locality sensitive histograms of oriented gradients
(LSHOG) for face recognition. The traditional histograms of oriented gradients (HOG) divide …