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 this chapter, we address the problem of biometric identity recognition from the vasculature
of the human sclera. Specifically, we focus on the challenging task of multi-view sclera …

Abstract Automatic human Facial Expressions Recognition (FER) is becoming of increased
interest. FER finds its applications in many emerging areas such as affective computing and …

Differential privacy has become crucial in the real-world deployment of statistical and
machine learning algorithms with rigorous privacy guarantees. The earliest statistical …

Contemporary face recognition system is often based on either 2D (texture) or 3D (texture+
shape) face modality. An alternative modality that utilizes range (depth) facial images …

A novel method for automatic facial landmark localization is presented. The method builds
on the supervised descent framework, which was shown to successfully localize landmarks …

The periocular region of a face can be used as an autonomous modality in a biometric
recognition system. We evaluate two different deep learning pipelines, one with a specific …

Despite the progress made in the area of local image descriptors in recent years, virtually no
literature is available on the use of more recent descriptors for the problem of 3D face …

5 D face recognition, which leverages both texture and range facial images often outperform
sole texture 2D face recognition as the former provides additional unique information than …

Data in today's world is increasingly siloed across a wide variety of entities with varying
resource constraints. The quality of wisdom generated from a collaborative processing of …