Face recognition is widely utilized and has become a ubiquitous part of daily lives. However,
original face images are often sensitive and unauthorized access could imperil personal …

This study offers a systematic literature review on the application of Convolutional Neural
Networks in Virtual Reality, Augmented Reality, Mixed Reality, and Extended Reality …

Abstract 3D face reconstruction and dense alignment play a key role in digital humans.
Learning-based approaches have been developed by employing cascaded convolutional …

Considering the necessity of sensitive information protection in face image, a cancelable
template generation model for multimodal face images is proposed in this paper. Firstly, the …

In order to capture nonlinear structures within data and more representational image
features, this paper investigates a multi-stage convolutional neural network with predefined …

Current existing methods are either not very discriminative or too complex. In this work, an
effective and very simple plant recognition method is proposed. The main innovations of our …

The current face scanning era can quickly and conveniently attain identity authentication, but
face images imply sensitive information simultaneously. Under such context, we introduce a …

The principal component analysis network (PCANet) is a simplified convolutional neural
network (CNN) implemented using a deep subspace learning model. Since its typical PCA …

Motor imagery electroencephalogram (MI-EEG) plays an important role in the brain
computer interface-based neuro-rehabilitation, and it is challenging to make the recognition …

To acquire a more discriminative feature of facial expression, we propose a multi-scale
principal component analysis network based on full quaternion matrix representation. Firstly …