Unsupervised Learning Based Focal Stack Camera Depth Estimation
arXiv:2203.07904v21 citationsh-index: 6
AI Analysis
This addresses depth estimation for computer vision applications, but appears incremental as it builds on existing unsupervised and focal stack techniques.
The paper tackles depth estimation from focal stack camera images using an unsupervised deep learning method, achieving much better accuracy on the NYU-v2 dataset compared to single-image based methods.
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.