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 …

This paper presents an efficient 3D face recognition method to handle facial expression and
hair occlusion. The proposed method uses facial curves to form a rejection classifier and …

In this paper, we introduce a fully automatic framework for 3D face recognition under
expression variation. For 3D data preprocessing, an improved nose detection method is …

Abstract 3D face has been introduced in the literature to deal with the unsolved issues of 2D
face recognition, namely lighting and pose variations. In this paper, we study and compare …

Previous studies have shown that error detection coverage and other dependability
measures estimated by fault injection experiments are affected by the workload. The …

A commonly accepted fact in the biometrics related domain is that fusing multiple classifiers
for decision making generally leads to improved recognition performance. Meanwhile, the …

In recent year, 3D face images play a major role in face recognition over corresponding 2D
images. In this work, the 3D range images are used for face recognition based on region …

The face is one of the best biometrics for person identification and verification related
applications, because it is natural, non-intrusive, and socially weIl accepted. Unfortunately …

We present an efficient 3D face recognition algorithm and demonstrate its performance on
the FRGC v2. 0 data set. The pose of a 3D face is automatically corrected based on the nose …

Classifier fusion is considered as one of the best strategies for improving performance of
general purpose classification systems. On the other hand, fusion strategy space strongly …