Blurred face recognition using CNN
Facial recognition systems play a crucial role in numerous applications ranging from security to healthcare purposes. Regardless, these systems face challenges when the images provided are from video sources or of low-quality. In this project, we explore ResNet18, a type of CNN model on KDEF dataset...
Saved in:
Main Author: | Kabyar, Myet Wun |
---|---|
Other Authors: | Anamitra Makur |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/177047 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Face recognition with accessories using CNN
by: Muhammad Shafiq B Ninaba
Published: (2024) -
Smart scissor: coupling spatial redundancy reduction and CNN compression for embedded hardware
by: Kong, Hao, et al.
Published: (2023) -
DeepDeblur : text image recovery from blur to sharp
by: Mei, Jianhan, et al.
Published: (2021) -
Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination
by: Aradhya, Abhay M S, et al.
Published: (2022) -
CARF-net : CNN attention and RNN fusion network for video-based person reidentification
by: Prasad, Dilip Kumar, et al.
Published: (2019)