We demonstrate that deep learning methods can determine the best focus position from 1-2 image samples, enabling 5-10x faster focus than traditional search-based methods. In contrast with phase detection methods, deep autofocus does not require specialized hardware. In further constrast with conventional methods, which assume a static "best focus," AI methods can generate scene-based focus trajectories that optimize synthesized image quality for dynamic and three dimensional scenes.
@article{arxiv.2002.12389,
title = {Intelligent Autofocus},
author = {Chengyu Wang and Qian Huang and Ming Cheng and Zhan Ma and David J. Brady},
journal= {arXiv preprint arXiv:2002.12389},
year = {2020}
}