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Intelligent Autofocus

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.

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Co-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalAuthorshipWIntelligent Autofocuspreprint / 2020AChengyu WangResearcherAQian HuangResearcherAMing ChengResearcherAZhan MaResearcherTeess.IV7337 worksADavid J. BradyResearcher
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Intelligent Autofocus

preprint / 2020

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