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.
Main Authors: | Rafsan, Nayeem, Nayeem, Hasibul Hoque, Dad, Hamed Efaz Md. Elahi, Yen, Afzal Hossain |
---|---|
Andre forfattere: | Alam, Md. Ashraful |
Format: | Thesis |
Sprog: | English |
Udgivet: |
Brac University
2023
|
Fag: | |
Online adgang: | http://hdl.handle.net/10361/21771 |
Lignende værker
-
Computer vision based employee activities analysis
af: Hoque, Md. Rezwanul, et al.
Udgivet: (2013) -
Machine learning approach for face recognition from 3D models generated by multiple 2D angular images
af: Mahmud, Moinuddin, et al.
Udgivet: (2019) -
Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet
af: Al-imran, et al.
Udgivet: (2019) -
Online language teaching and learning: present condition and future prospects in Bangladeshi primary education system
af: Sarkar, Likhan
Udgivet: (2017) -
An efficient face recognition model using multiple angular images and deep neural network architecture
af: Subah, Silma, et al.
Udgivet: (2024)