Considerations and framework for foveated imaging systems

Ram M. Narayanan, Timothy J. Kane, Terence F. Rice, Michael J. Tauber

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Foveated sight as observed in some raptor eyes is a motivation for artificial imaging systems requiring both wide fields of view as well as specific embedded regions of higher resolution. These foveated optical imaging systems are applicable to many acquisition and tracking tasks and as such are often required to be relatively portable and operate in real-time. Two approaches to achieve foveation have been explored in the past: optical system design and back-end data processing. In this paper, these previous works are compiled and used to build a framework for analyzing and designing practical foveated imaging systems. While each approach (physical control of optical distortion within the lens design process, and post-processing image re-sampling) has its own pros and cons, it is concluded that a combination of both techniques will further spur the development of more versatile, flexible, and adaptable foveated imaging systems in the future.

Original languageEnglish (US)
Article number18
JournalPhotonics
Volume5
Issue number3
DOIs
StatePublished - Sep 1 2018

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lens design
Optical Devices
visual perception
systems engineering
Imaging systems
field of view
image processing
acquisition
sampling
Raptors
Optical Imaging
high resolution
Lenses
Optical systems
Image processing
Systems analysis
Sampling

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Radiology Nuclear Medicine and imaging

Cite this

Narayanan, Ram M. ; Kane, Timothy J. ; Rice, Terence F. ; Tauber, Michael J. / Considerations and framework for foveated imaging systems. In: Photonics. 2018 ; Vol. 5, No. 3.
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Considerations and framework for foveated imaging systems. / Narayanan, Ram M.; Kane, Timothy J.; Rice, Terence F.; Tauber, Michael J.

In: Photonics, Vol. 5, No. 3, 18, 01.09.2018.

Research output: Contribution to journalArticle

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