With the recent development of microelectromechanical systems (MEMS), inertial sensors
have become widely used in the research of wearable gait analysis due to several factors …

Face recognition has received significant attention because of its numerous applications in
access control, law enforcement, security, surveillance, Internet communication and …

We propose a straightforward method that simultaneously reconstructs the 3D facial
structure and provides dense alignment. To achieve this, we design a 2D representation …

The global epidemic of COVID-19 makes people realize that wearing a mask is one of the
most effective ways to protect ourselves from virus infections, which poses serious …

This work attempts to provide a plausible theoretical framework that aims to interpret modern
deep (convolutional) networks from the principles of data compression and discriminative …

Information fusion is a key step in multimodal biometric systems. The fusion of information
can occur at different levels of a recognition system, ie, at the feature level, matching-score …

With the increasing number of public available training data for face alignment, the
regression-based methods attracted much attention and have become the dominant …

Large-pose face alignment is a very challenging problem in computer vision, which is used
as a prerequisite for many important vision tasks, eg, face recognition and 3D face …

Most existing image-based crop disease recognition algorithms rely on extracting various
kinds of features from leaf images of diseased plants. They have a common limitation as the …

The employed dictionary plays an important role in sparse representation or sparse coding
based image reconstruction and classification, while learning dictionaries from the training …