An efficient face recognition model using multiple angular images and deep neural network architecture
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
| Huvudupphovsmän: | Subah, Silma, Nath, Arpita, Armisha, Mitheela das, Binte Sakhawat, Sumaiya, Alam Parbo, Md Nuhas |
|---|---|
| Övriga upphovsmän: | Alam, Dr. Md. Ashraful |
| Materialtyp: | Lärdomsprov |
| Språk: | English |
| Publicerad: |
Brac University
2024
|
| Ämnen: | |
| Länkar: | http://hdl.handle.net/10361/22124 |
Liknande verk
-
An efficient deep learning approach for 3D face detection using multiple angular 2D images
av: Rafsan, Nayeem, et al.
Publicerad: (2023) -
Covid-19 infected lung detection using machine learning
av: Islam, Md. Muntaha, et al.
Publicerad: (2022) -
FoodieCal: a convolutional neural network based food detection and calorie estimation system
av: Mashraf, Chowdhury Zerif, et al.
Publicerad: (2021) -
Detection of intracranial hemorrhage on CT scan images using convolutional neural network
av: Rahman, Afridi Ibn, et al.
Publicerad: (2022) -
3D model designing of microneedles
av: Zahin, Nuzhat
Publicerad: (2018)