… To solve these problems, we propose multi-feature fusion technique to improve the
performance of thermal face recognition. Four features, including Local binary pattern, Gabor jet …

… In this paper, the depthwise separable convolution is fused into the inception block, and
the traditional convolution kernel is replaced by the depthwise separable convolution kernel. …

… such as face recognition [7] and palmprint recognition [12]. In … use the multiscale 1 strategy
in HOG-based face recognition. … robust face recognition method using multiple features fusion …

… of multiscale patch cooperative representation can be appropriately fused and the multiscale
… learning, the collaborative representation of multiscale fusion is performed to obtain the …

… of face detection is to detect the existence of a face from a given image and return its size
and location, and in practice, many face recognition … changes and information fusion as well. …

Inspired by Fechner's law, we propose a Fechner multiscale local descriptor (FMLD) for feature
extraction and face recognition. Fechner's law is a well-known law in psychology, which …

… Many fusion algorithms for the pixel-level fusion have been proposed, from the simplest … to
more advanced multiscale methods. There are two existing feature-level fusion methods. One …

… using the ANN, the multi-layer perceptron artificial neural network (MLP ANN) was employed
in the current study to recognize the face images based on the fused face images. Further …

… a bimodal 3D facial recognition method aimed at increasing the recognition rate and reducing
the … The proposed multimodal fusion method reduces complexity and improves recognition …

… Promoted by the face recognition grand challenge, recognition rates under well controlled
settings have almost saturated [47]. With this achievement, the recent focus of research has …