This work focuses on facial processing, which refers to artificial intelligence (AI) systems that
take facial images or videos as input data and perform some AI-driven processing to obtain …

In this paper, we present a deep learning-based method for 3D face recognition. Unlike
some previous works, our process does not rely on face representation methods as a proxy …

This work presents a study on the effects of aging on the performance and reliability of facial
authentication methods. First, a brief review of the literature on the effect of age on face …

Face recognition (FR) has reached a high technical maturity. However, its use needs to be
carefully assessed from an ethical perspective, especially in sensitive scenarios. This is …

Compared with support vector machine, large margin distribution machine (LDM) has better
generalization performance. The central idea of LDM is to maximize the margin mean and …

The main challenge is to automate the model for aged or de-aged face generation.
However, there are certain limitations on accuracy for age estimation and identity …

With the development of society, the world's population mobility, mobility speed and mobility
area are increasing, and face detection and recognition technology also plays an important …

Considerando la relevancia e impacto de los crecientes data-sets en el área de
reconocimiento facial, introducimos una base de datos conformada exclusivamente por …