The face is an important part of the human body, distinguishing individuals in large groups of
people. Thus, because of its universality and uniqueness, it has become the most widely …

The field of computer vision has undergone rapid growth in recent years, yet the use of
computer vision in offsite construction remains an under-researched area of study. Given the …

Face recognition is of great importance to real world applications such as video surveillance,
human machine interaction and security systems. As compared to traditional machine …

In recent years, researchers have proposed many deep learning (DL) methods for various
tasks, and particularly face recognition (FR) made an enormous leap using these …

Abstract Convolutional Sparse Coding (CSC) is an increasingly popular model in the signal
and image processing communities, tackling some of the limitations of traditional patch …

The advent of high speed processors and high resolution cameras has spearheaded the
research towards design of face recognition systems for various applications. Face …

Feature selection (FS) is a global optimization problem in machine learning, which reduces
the number of features, removes irrelevant, noisy and redundant data, and results in …

The simulation of various rock properties based on three‐dimensional digital cores plays an
increasingly important role in oil and gas exploration and development. The accuracy of 3D …

Local edge-based descriptors have gained much attention as feature extraction methods for
facial expression recognition. However, such descriptors are found to suffer from unstable …

Sensing technologies place significant interest in the use of biometrics for the recognition
and assessment of individuals. Pattern mining techniques have established a critical step in …