Unsupervised Learning Based Focal Stack Camera Depth Estimation

03/14/2022

∙

We propose an unsupervised deep learning based method to estimate depth from focal stack camera images. On the NYU-v2 dataset, our method achieves much better depth estimation accuracy compared to single-image based methods.

READ FULL TEXT

Unsupervised Learning Based Focal Stack Camera Depth Estimation

Deep Depth from Focal Stack with Defocus Model for Camera-Setting Invariance

Single Image Depth Estimation Trained via Depth from Defocus Cues

Learning Single Camera Depth Estimation using Dual-Pixels

Evaluation of CNN-based Single-Image Depth Estimation Methods

Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach

Exploiting Depth Information for Wildlife Monitoring

Total Variation-Based Dense Depth from Multi-Camera Array

Unsupervised Learning Based Focal Stack Camera Depth Estimation

Related Research

Deep Depth from Focal Stack with Defocus Model for Camera-Setting Invariance

Single Image Depth Estimation Trained via Depth from Defocus Cues

Learning Single Camera Depth Estimation using Dual-Pixels

Evaluation of CNN-based Single-Image Depth Estimation Methods

Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach

Exploiting Depth Information for Wildlife Monitoring

Total Variation-Based Dense Depth from Multi-Camera Array