Gabor filter bank with deep autoencoder based face recognition system
These days, face recognition systems are widely being employed in various daily
applications such as smart phone unlocking, tracking school attendance, and secure online …
applications such as smart phone unlocking, tracking school attendance, and secure online …
A survey on techniques to handle face recognition challenges: occlusion, single sample per subject and expression
B Lahasan, SL Lutfi, R San-Segundo - Artificial Intelligence Review, 2019 - Springer
Face recognition is receiving a significant attention due to the need of facing important
challenges when developing real applications under unconstrained environments. The …
challenges when developing real applications under unconstrained environments. The …
Adaptive appearance model tracking for still-to-video face recognition
Abstract Systems for still-to-video face recognition (FR) seek to detect the presence of target
individuals based on reference facial still images or mug-shots. These systems encounter …
individuals based on reference facial still images or mug-shots. These systems encounter …
Single sample face recognition in the last decade: a survey
N Kumar, V Garg - International Journal of Pattern Recognition and …, 2019 - World Scientific
Single sample face recognition (SSFR) is a challenging research problem in which only one
face image per person is available for training. Moreover, the face image may have different …
face image per person is available for training. Moreover, the face image may have different …
Single sample face recognition using convolutional neural networks for automated attendance systems
FP Filippidou, GA Papakostas - 2020 Fourth International …, 2020 - ieeexplore.ieee.org
Convolutional Neural Networks (CNNs) have been developed as powerful models for image
recognition problems requiring large-scale labeled training data. However, estimating …
recognition problems requiring large-scale labeled training data. However, estimating …
Robust face recognition by computing distances from multiple histograms of oriented gradients
The Single Sample per Person Problem is a challenging problem for face recognition
algorithms. Patch-based methods have obtained some promising results for this problem. In …
algorithms. Patch-based methods have obtained some promising results for this problem. In …
Surveillance video face recognition with single sample per person based on 3D modeling and blurring
X Hu, S Peng, L Wang, Z Yang, Z Li - Neurocomputing, 2017 - Elsevier
Video surveillance has attracted more and more interests in the last decade, video-based
Face Recognition (FR) therefore became an important task. However, the surveillance …
Face Recognition (FR) therefore became an important task. However, the surveillance …
Local selected features of dual‐tree complex wavelet transform for single sample face recognition
H Hamidi, M Chehel Amirani… - IET Image …, 2015 - Wiley Online Library
In this study, a new method for single sample face recognition problem based on local dual‐
tree complex wavelet transform (DT‐CWT) representation is proposed. The proposed …
tree complex wavelet transform (DT‐CWT) representation is proposed. The proposed …
Detection of different classes moving object in public surveillance using artificial neural network (ann)
Public surveillance monitoring is rapidly finding its way into Intelligent Surveillance Systems.
Street crimes such as snatch theft is increasing drastically in recent years, cause a serious …
Street crimes such as snatch theft is increasing drastically in recent years, cause a serious …
Measuring NBA Players' Mood by Mining Athlete-Generated Content
Online athlete-generated content in social media has high potential to become the
information source for both team managers and coaches to discern players' mood status and …
information source for both team managers and coaches to discern players' mood status and …