Face Recognition Based on PCA, LBP and SVM Techniques by Omar Ibrahim Yehya Dallal Bashi

Subjects: “…face recognition…”
Get full text

Face Recognition for Motorcycle Engine Ignition with Messaging System by Yolanda D. Austria, Luisito L. Lacatan, John Gregory D. Funtera, Jonet H. Montenegro, Laymar T. Santelices

Subjects: Get full text

Uniform Generic Representation for Single Sample Face Recognition by Yuhua Ding, Fan Liu, Zhenmin Tang, Tao Zhang

Subjects: Get full text

Improving Face Recognition by Integrating Decision Forest into GAN by Yea-Shuan Huang, Mahmood HB Alhlffee

“…Posture variation and self-occlusion are well-known factors that can compromise the accuracy and robustness of face recognition systems. There are a variety of ways to combat the challenges listed above, include using Generative Adversarial Networks (GANs). …”
Get full text

Face Recognition Method Based on Edge-Cloud Collaboration by WEI Qin, LI Ying-jiao, LOU Ping, YAN Jun-wei, HU Ji-wei

Subjects: “…edge-cloud collaboration|face recognition|resnet|arcface|deep separable convolution…”
Get full text

FRMDB: Face Recognition Using Multiple Points of View by Paolo Contardo, Paolo Sernani, Selene Tomassini, Nicola Falcionelli, Milena Martarelli, Paolo Castellini, Aldo Franco Dragoni

“…Although face recognition technology is currently integrated into industrial applications, it has open challenges, such as verification and identification from arbitrary poses. …”
Get full text

Design and implementation of face recognition attendance management system by Zhang Luyun, Duan Qiaoling, Ma Hairong, Cen Kaiwei

Subjects: Get full text

Error Rates in Users of Automatic Face Recognition Software. by David White, James D Dunn, Alexandra C Schmid, Richard I Kemp

“…In recent years, wide deployment of automatic face recognition systems has been accompanied by substantial gains in algorithm performance. …”
Get full text

Using Face Recognition System in Ship Protection Process by Miroslav Bača, Željko Hutinski, Kornelije Rabuzin

Subjects: Get full text

Development of Holistic vs. Featural Processing in Face Recognition by Kazuyo eNakabayashi, Chang Hong eLiu

Subjects: Get full text

Fusing the facial temporal information in videos for face recognition by Ithayarani Panner Selvam, Muneeswaran Karruppiah

Subjects: Get full text

USE OF FACE RECOGNITION SOFTWARE BY KARHUNEN LOVE METHOD by Hadžib Salkić, Marija Kvasina, Almira Salkić, Vladica Ristić

Subjects: Get full text

Motion Detection and Face Recognition for CCTV Surveillance System by Ade Nurhopipah, Agus Harjoko

“…But in combination with face recognition process, there is a significant delay time.…”
Get full text

Angular Margin-Mining Softmax Loss for Face Recognition by Jwajin Lee, Yooseung Wang, Sunyoung Cho

Subjects: Get full text

A survey of face recognition techniques under occlusion by Dan Zeng, Raymond Veldhuis, Luuk Spreeuwers

Subjects: “…face recognition…”
Get full text

Self Residual Attention Network for Deep Face Recognition by Hefei Ling, Jiyang Wu, Lei Wu, Junrui Huang, Jiazhong Chen, Ping Li

“…Discriminative feature embedding is of essential importance in the field of large scale face recognition. In this paper, we propose a self residual attention-based convolutional neural network (SRANet) for discriminative face feature embedding, which aims to learn the long-range dependencies of face images by decreasing the information redundancy among channels and focusing on the most informative components of spatial feature maps. …”
Get full text

Determinants of Face Recognition: The Role of Target Prevalence and Similarity by Lionel Boudry, Jeffrey D. Nador, Meike Ramon

Subjects: Get full text

Recent Advances in Deep Learning Techniques for Face Recognition by Md. Tahmid Hasan Fuad, Awal Ahmed Fime, Delowar Sikder, Md. Akil Raihan Iftee, Jakaria Rabbi, Mabrook S. Al-Rakhami, Abdu Gumaei, Ovishake Sen, Mohtasim Fuad, Md. Nazrul Islam

Subjects: Get full text

Multi‐factor joint normalisation for face recognition in the wild by Yanfei Liu, Junhua Chen

“…Abstract Face recognition has become very challenging in unconstrained conditions due to strong intra‐personal variations, such as large pose changes. …”
Get full text

Single-Sample Face Recognition Based on Feature Expansion by Rui Min, Shengping Xu, Zongyong Cui

Subjects: “…Face recognition…”
Get full text