… Face recognition, as an active area of pattern recognition, has received a lot of attention
in the past twenty years due to its wide range of applications, such as biometric identification …

… multiscale descriptor based on Local Binary Pattern Histogram (MLBPH). Again, by virtue of
kernel fusion, we combine Multiscale … We construct a number of variants of face recognition …

… A face recognition model based on a multiscale feature fusion … of face and to improve the
accuracy of face recognition. In … networks are designed to extract global features of faces. …

… This paper presents a multiscale data fusion method of visible and thermal IR images of the
face for illumination-invariant face recognition. Face recognition techniques based on visible …

… However, thermal face image consist of face heat energy and face counter information … , an
enhanced thermal face recognition approach based on Multiscale Complex Fusion for Gabor …

… To solve this problem, we propose a lightweight multiscale fusion network (LMFNet) with a
… layer with a multiscale feature fusion (ML-MSFF) module to extract the facial texture and con…

… face recogrutlon under uncontrolled illumination conditions (2) [3]. This paper presents a data
fusion … transform (DWT) domain for robust face recognition. A pair of visual and thennal IR …

In this paper, an efficient multi-scale hybrid approach is proposed to tackle two main
problems in three-dimensional (3D) face recognition, namely the singularity of scale features …

… on recognition performance. This section proposes a new face recognition method CIMSPCRC,
which fuses multiscale … Because the recognition performance of CIMSPCRC is largely …

… end multiscale fusion lightweight convolution neural network (CNN) framework for hyperspectral
face recognition, termed as the features fusion with … Secondly, we further fuse multiscale …