An efficient deep learning approach for 3D face detection using multiple angular 2D images
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
Principais autores: | Rafsan, Nayeem, Nayeem, Hasibul Hoque, Dad, Hamed Efaz Md. Elahi, Yen, Afzal Hossain |
---|---|
Outros Autores: | Alam, Md. Ashraful |
Formato: | Tese |
Idioma: | English |
Publicado em: |
Brac University
2023
|
Assuntos: | |
Acesso em linha: | http://hdl.handle.net/10361/21771 |
Registros relacionados
-
Computer vision based employee activities analysis
por: Hoque, Md. Rezwanul, et al.
Publicado em: (2013) -
Machine learning approach for face recognition from 3D models generated by multiple 2D angular images
por: Mahmud, Moinuddin, et al.
Publicado em: (2019) -
Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet
por: Al-imran, et al.
Publicado em: (2019) -
Online language teaching and learning: present condition and future prospects in Bangladeshi primary education system
por: Sarkar, Likhan
Publicado em: (2017) -
An efficient face recognition model using multiple angular images and deep neural network architecture
por: Subah, Silma, et al.
Publicado em: (2024)