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FaceNet Based Face Sketch Recognition

2017 International Conference on Computational Science and Computational Intelligence (CSCI), 2017
Despite significant recent achievements in the field of face recognition, implementing face sketch recognition effectively presents serious challenges to existing methods. In this paper, we propose a novel face sketch recognition approach based on FaceNet which can directly map face image to a feature vector.
Weiguo Wan, Hyo Jong Lee
openaire   +1 more source

Age-Puzzle FaceNet for Cross-Age Face Recognition

2019
Cross-Age Face Recognition (CAFR) has drawn increasing attention in recent years. Technically however, due to the nonlinear variation of face aging and insufficient datasets covering a wide range of ages, it remains a major challenge in the field of face recognition.
Yangjian Huang   +2 more
openaire   +2 more sources

EEG Person Identification Using Facenet, LSTM-RNN and SVM

2020 17th International Multi-Conference on Systems, Signals & Devices (SSD), 2020
Electroencephalography (EEG) is the recording of electrical activity occurring in the brain, it represents the whole neural signal flow of the brain giving plenty of complex, yet abstract information. As many papers validated the individual identification using EEG Features for security purposes, we strongly believe that human EEG contains a ...
Ghaith Bouallegue, Ridha Djemal
openaire   +1 more source

Facenet: A connectionist model of face identification in context

European Journal of Cognitive Psychology, 1991
Abstract The role of contexts in face identification constitutes a weak point of existing cognitive models of face recognition. A connectionist system (Face-net) based on a layered network has been specified and implemented to investigate the processes underlying identification.
Anne-Caroline Schreiber   +2 more
openaire   +1 more source

Face Recognition Based on Improved FaceNet Model

2018
The convolutional neural networks (CNN) is one of the most successful deep learning model in the field of face recognition, the different image regions are always treated equally when extracting image features, but in fact different parts of the face play different roles in face recognition.
Qiuyue Wei   +3 more
openaire   +1 more source

Efficient and Privacy-preserving Distributed Face Recognition Scheme via FaceNet

ACM Turing Award Celebration Conference - China ( ACM TURC 2021), 2021
In recent years, with the development of deep learning techniques, face recognition has draw numerous attention in both academic and industrial. Meanwhile, it is also widely deployed in smart home and brings great conveniences in people’s life. However, due to the sensitivity of biometric data, face recognition is still confronted with several crucial ...
Xiaoyu Kou   +3 more
openaire   +2 more sources

FaceNet with RetinaFace to Identify Masked Face

2021 6th International Workshop on Big Data and Information Security (IWBIS), 2021
Sengli Egani Sitepu   +4 more
openaire   +1 more source

Performance Evaluation of Facenet on Low Resolution Face Images

2018
In recent years, deep learning has become a very prevalent technology in face recognition. Google came up with a deep convolution neural network called Facenet which performs face recognition using only 128 bytes per face. As claimed by Google, Facenet attained nearly 100-percent accuracy on the widely used Labeled Faces in the Wild (LFW) dataset.
Monika Rani Golla, Poonam Sharma
openaire   +1 more source

Masked Face Recognition Using FaceNet

2022 International Conference on Cyber-Physical Social Intelligence (ICCSI), 2022
Yuan Wu, Longfei Yang
openaire   +1 more source

Face Recognition Model Based On MTCNN And Facenet

2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC), 2022
Siyao Qi   +3 more
openaire   +1 more source

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