Abstract 3D face recognition (3DFR) has emerged as an effective means of characterizing
facial identity over the past several decades. Depending on the types of techniques used in …

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 …

Face recognition is being widely accepted as a biometric technique because of its non-
intrusive nature. Despite extensive research on 2-D face recognition, it suffers from poor …

In this paper, we present a fully automated multimodal Curvelet-based approach for textured
3D face recognition. The proposed approach relies on a novel multimodal keypoint detector …

Face recognition aims to establish the identity of a person based on facial characteristics
and is a challenging problem due to complex nature of the facial manifold. A wide range of …

Face recognition is still a very demanding area of research. This problem becomes more
challenging in unconstrained environment and in the presence of several variations like …

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 …

This paper presents a fast discrete Curvelet transform (FDCT)-based technique for multi-
focus image fusion to address two problems: texture selection in FDCT domain and block …

The recent years have witnessed rapid strides in the use of cloud computing and its
countless applications. A cloud can contain massive volumes of multimedia data in the form …

Robust scanning technologies that offer 3D view of the world in real time are critical for
situational awareness and safe operation of robotic and autonomous systems. Color and …