3D landmark‐based face restoration for recognition using variational autoencoder and triplet loss
Abstract Restoration of a 3D face from the mesh image is highly demanded in computer vision applications. 3D face restoration is a challenging task due to the variation of expression, poses, intrinsic geometries, and textures. The proposed technique consists of two main components, namely face resto...
Saved in:
Main Authors: | Sahil Sharma, Vijay Kumar |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | IET Biometrics |
Subjects: | |
Online Access: | https://doi.org/10.1049/bme2.12005 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Face recognition using decision fusion of multiple sparse representation-based classifiers
by: Biao TANG, et al.
Published: (2018-04-01) -
Historical Blurry Video-Based Face Recognition
by: Lujun Zhai, et al.
Published: (2024-09-01) -
Image-Based Face Recognition Techniques Used in Disease Detection Approaches: A Survey
by: Ghalib Ahmed Salman, et al.
Published: (2024-03-01) -
Face Recognition using Deep Learning and TensorFlow framework
by: Makrem Beldi
Published: (2023-12-01) -
Illumination and expression robust face recognition using collaboration of double-dictionary's sparse representation-based classification
by: Fei GONG, et al.
Published: (2017-03-01)