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

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 …

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

Heterogeneous face recognition is an important, yet challenging problem in face recognition
community. It refers to matching a probe face image to a gallery of face images taken from …

Coupled space learning is an effective framework for heterogeneous face recognition. In this
paper, we propose a novel coupled discriminant analysis method to improve the …

This paper presents a coupled discriminative feature learning (CDFL) method for
heterogeneous face recognition (HFR). Different from most existing HFR approaches which …

In this paper, we propose a rotation-invariant local binary descriptor (RI-LBD) learning
method for visual recognition. Compared with hand-crafted local binary descriptors, such as …

Local-feature-based face recognition (FR) methods, such as Gabor features encoded by
local binary pattern, could achieve state-of-the-art FR results in large-scale face databases …