Feature extraction is vital for face recognition. In this paper, we focus on the general feature
extraction framework for robust face recognition. We collect about 300 papers regarding face …

Binary feature descriptors such as local binary patterns (LBP) and its variations have been
widely used in many face recognition systems due to their excellent robustness and strong …

Local feature descriptor is an important module for face recognition and those like Gabor
and local binary patterns (LBP) have proven effective face descriptors. Traditionally, the form …

This paper presents a simple and novel, yet highly effective approach for robust face
recognition. Using LBP-like descriptors based on local accumulated pixel differences …

Most DCNN-based FR approaches typically employ grayscale or RGB color images as input
representations of DCNN architectures. However, other effective face representation …

Great progress has been achieved in face recognition in the last three decades. However, it
is still challenging to characterize the identity related features in face images. This paper …

This paper presents a new joint feature learning (JFL) approach to automatically learn
feature representation from raw pixels for face recognition. Unlike many existing face …

This is an introduction to multicast routing, which is the study of methods for routing from one
source to many destinations, or from many sources to many destinations. Multicast is …

The most recent face recognition systems are mainly dependent on feature representations
obtained using either local handcrafted-descriptors, such as local binary patterns (LBP), or …

Local binary pattern (LBP) and its variants have shown promising results in visual
recognition applications. However, most existing approaches rely on a pre-defined structure …