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 …

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 …

In this paper, we propose a simultaneous local binary feature learning and encoding
(SLBFLE) approach for both homogeneous and heterogeneous face recognition. Unlike …

Many state-of-the-art face recognition algorithms use image descriptors based on features
known as Local Binary Patterns (LBPs). While many variations of LBP exist, so far none of …

In this paper, we propose a context-aware local binary feature learning (CA-LBFL) method
for face recognition. Unlike existing learning-based local face descriptors such as …

We present a novel approach to address the representation issue and the matching issue in
face recognition (verification). Firstly, our approach encodes the micro-structures of the face …

In this paper a local pattern descriptor in high order derivative space is proposed for face
recognition. The proposed local directional gradient pattern (LDGP) is a 1D local …

Recent methods for learning similarity between images have presented impressive results in
the problem of pair matching (same/notsame classification) of face images. In this paper we …

Local descriptors used in face recognition are robust in a sense that these descriptors
perform well in varying pose, illumination, and lighting conditions. The accuracy of these …

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 …