Depth Estimation for Integral Imaging Microscopy Using a 3D–2D CNN with a Weighted Median Filter

This study proposes a robust depth map framework based on a convolutional neural network (CNN) to calculate disparities using multi-direction epipolar plane images (EPIs). A combination of three-dimensional (3D) and two-dimensional (2D) CNN-based deep learning networks is used to extract the feature...

Descripción completa

Detalles Bibliográficos
Autores principales: Imtiaz, Shariar Md, Kwon, Ki-Chul, Hossain, Md. Biddut, Alam, Md. Shahinur, Jeon, Seok-Hee, Kim, Nam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316143/
https://www.ncbi.nlm.nih.gov/pubmed/35890968
http://dx.doi.org/10.3390/s22145288

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316143/
https://www.ncbi.nlm.nih.gov/pubmed/35890968
http://dx.doi.org/10.3390/s22145288

Ejemplares similares