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 …
network (CNN) to calculate disparities using multi-direction epipolar plane images (EPIs). A …
[PDF][PDF] Enhanced 3D Point Cloud Reconstruction for Light FieldMicroscopy Using U-Net-Based Convolutional Neural Networks.
This article describes a novel approach for enhancing the three-dimensional (3D) point
cloud reconstruction for light field microscopy (LFM) using U-net architecture-based fully …
cloud reconstruction for light field microscopy (LFM) using U-net architecture-based fully …
An Adaptive Illumination Optimization Method for Local Overexposed Image
C Lyu, M Zhang, J ** - International Journal of Image and Graphics, 2024 - World Scientific
In order to solve the local overexposure caused by uneven surface reflectance, this paper
proposes a fast-adaptive illumination control method with a camera-projector system. At first …
proposes a fast-adaptive illumination control method with a camera-projector system. At first …
[PDF][PDF] Deep learning-based depth estimation technique for integral imaging microscopy system
Convolutional neural networks (CNNs) have recently shown impressive results for
estimating depth-map from microscopic images. This study presents a depth estimation …
estimating depth-map from microscopic images. This study presents a depth estimation …