Learning face similarities for face verification using hybrid convolutional neural networks
Face verification focuses on the task of determining whether two face images belong to the same identity or not. For unrestricted faces in the wild, this is a very challenging task. Besides significant degradation due to images that have large variations in pose, illumination, expression, aging, and...
Saved in:
Main Authors: | Zaman, Fadhlan Hafizhelmi Kamaru (Author), Johari, Juliana (Author), Yassin, Ahmad Ihsan Mohd (Author) |
---|---|
Format: | EJournal Article |
Published: |
Institute of Advanced Engineering and Science,
2019-12-01.
|
Subjects: | |
Online Access: | Get fulltext |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Illumination-robust face recognition based on deep convolutional neural networks architectures
by: Bendjillali, Ridha Ilyas, et al.
Published: (2020) -
Cloud-based architecture for face identification with deep learning using convolutional neural network
by: Herlambang, Aditya, et al.
Published: (2021) -
An effective face recognition method using guided image filter and convolutional neural network
by: S., Yallamandaiah, et al.
Published: (2021) -
Face Detection Using Backpropagation Neural Networks
by: Azis, Anifuddin, et al.
Published: (2007) -
Developed artificial neural network based human face recognition
by: Hussein, Maryam Mahmood, et al.
Published: (2019)