In the past ten years, research on face recognition has shifted to using 3D facial surfaces, as
3D geometric information provides more discriminative features. This comprehensive survey …

Given the prominence of 3D sensors in recent years, 3D point cloud scene data are worthy
to be further investigated. Point cloud scene understanding is a challenging task because of …

Face Recognition (FR) is the technology used to identify and verify individuals based on
their facial features. In recent decades, FR plays a crucial role in various sectors, including …

For rotating machinery, the sudden failure of roller bearing would lead to the downtime of the
whole system and even catastrophic accidents. Therefore, multiple accelerometers are …

Large-scale point cloud semantic segmentation is a critical aspect of environmental
information perception, with far-reaching applications in domains such as auto-driving …

This paper presents a comprehensive review of Automatic Facial Recognition Systems
using integrative and systematic mapping approach. The review is grounded on criteria …

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 …

The key challenge of face recognition is to develop an effective feature representations for
reducing intrapersonal variations while enlarging interpersonal differences. In this paper, we …

Face recognition is one of the most studied research topics in the community. In recent
years, the research on face recognition has shifted to using 3D facial surfaces, as more …

In this paper, an efficient multi-scale hybrid approach is proposed to tackle two main
problems in three-dimensional (3D) face recognition, namely the singularity of scale features …