Multi-block color-binarized statistical images for single-sample face recognition

I Adjabi, A Ouahabi, A Benzaoui, S Jacques - Sensors, 2021 - mdpi.com
Single-Sample Face Recognition (SSFR) is a computer vision challenge. In this scenario,
there is only one example from each individual on which to train the system, making it …

A face recognition framework based on a pool of techniques and differential evolution

GF Plichoski, C Chidambaram, RS Parpinelli - Information Sciences, 2021 - Elsevier
Face Recognition (FR) systems are still facing significant challenges when different image
issues, such as variation of illumination, pose, expression, and occlusion, are present in …

A framework for facial age progression and regression using exemplar face templates

A Elmahmudi, H Ugail - The visual computer, 2021 - Springer
Techniques for facial age progression and regression have many applications and a myriad
of challenges. As such, automatic aged or de-aged face generation has become an …

Fingerprint liveness detection using local quality features

RP Sharma, S Dey - The Visual Computer, 2019 - Springer
Fingerprint-based recognition is widely deployed in different domains. However, current
recognition systems are vulnerable to presentation attack. Presentation attack utilizes an …

Deep 3D-LBP: CNN-based fusion of shape modeling and texture descriptors for accurate face recognition

S Bahroun, R Abed, E Zagrouba - The Visual Computer, 2023 - Springer
The key challenge of face recognition is to develop an effective feature representations for
reducing intrapersonal variations while enlarging interpersonal differences. In this paper, we …

A fast face recognition based on image gradient compensation for feature description

Y Zhang, L Yan - Multimedia Tools and Applications, 2022 - Springer
To improve the efficiency of traditional face recognition techniques, this paper proposes a
novel face recognition algorithm called Image Gradient Feature Compensation (IGFC) …

A fully convolutional anchor-free object detector

T Zhang, Z Li, Z Sun, L Zhu - The visual computer, 2023 - Springer
We propose an improvement on fully convolutional one-stage object detection to improve
the overall performance of the model. Firstly, we propose two feature pyramid networks with …

Multi-scale feature fusion model followed by residual network for generation of face aging and de-aging

DV Atkale, MM Pawar, SC Deshpande… - Signal, Image and Video …, 2022 - Springer
Face aging is one of the most interesting style transfer ideas due to the extraordinary
development in image synthesis succeeded by deep learning models that is the generative …

Spatial-spectral multiple manifold discriminant analysis for dimensionality reduction of hyperspectral imagery

G Shi, H Huang, J Liu, Z Li, L Wang - Remote Sensing, 2019 - mdpi.com
Hyperspectral images (HSI) possess abundant spectral bands and rich spatial information,
which can be utilized to discriminate different types of land cover. However, the high …

Joint multi-subspace feature learning with singular value decomposition for robust single-sample face recognition

R Fei, J Zhang, L Bo, H Zhang, H Li, M Li - Computers and Electrical …, 2024 - Elsevier
Single-sample face recognition remains a significant challenge due to the difficulty in
extracting discriminative features using only one facial image per individual in practical …