Project Teaching computers to see ... sharp: A deep neural network for single image autofocus and artificial accommodation

Basic data

Title:
Teaching computers to see ... sharp: A deep neural network for single image autofocus and artificial accommodation
Duration:
15/03/2018 to 15/09/2019
Abstract / short description:
Is it possible to teach an artificial neural network depth perception like our eyes do? If yes, such
a network could be used to adjust the focus of a lens based on a single image instantaneously.
Such a technique would have a broad impact on almost any optical application, from simple
photography on mobile phones to microscopy, robotic vision, self-driving cars, or the development
of vision aids with artificial accommodation, and may even provide insights into the function
of the retina through scrutinizing the trained network.
Keywords:
computer science
Informatik
neurosciences
Neurowissenschaften
artificial intelligence
künstliche Intelligenz

Involved staff

Managers

Center for Ophthalmology
Hospitals and clinical institutes, Faculty of Medicine

Contact persons

Faculty of Medicine
University of Tübingen
Center for Ophthalmology
Hospitals and clinical institutes, Faculty of Medicine

Local organizational units

Research Center for Ophthalmology
Center for Ophthalmology
Hospitals and clinical institutes, Faculty of Medicine

Funders

Hannover, Niedersachsen, Germany
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