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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |