Computational Optics in Next-Generation Graphical User Interfaces

A special issue of Photonics (ISSN 2304-6732).

Deadline for manuscript submissions: closed (15 November 2022) | Viewed by 211

Special Issue Editor


E-Mail Website
Guest Editor
Computer Science Department, University College London, 169 Euston Road, London NW1 2AE, UK
Interests: 3D displays; computer graphics; computer-generated holography; near eye displays

Special Issue Information

Dear Colleagues,

In recent years, computational optics have enabled various devices that enhance the user experiences in next-generation graphical user interfaces, targeting virtual and augmented reality (VR/AR) applications. These computational and optical devices include display systems or sensing modalities in VR/AR near-eye displays. Often, the information from such sensors helps shape the visuals in the display system, leading to gains in bandwidth, power, and computational expenses. Thus, works related to combining new sensors with display design is utterly fascinating in this research space.

Our Special Issue on computational optics in next-generation user interfaces targets to attract state of the art in:

  • Eye/Gaze tracking devices;
  • Sensing modalities for vital signs (e.g., heart rate, blood oxygenation);
  • Display devices including holographic and classical approaches;
  • Optical component design for sensors, cameras, and displays;
  • Human perception-driven optical design in sensors, cameras, and displays;
  • Algorithms for learning optical design space related to sensors, cameras, and displays.

We aim to deliver a unique set of papers that help reshape the next in computational optics in next-generation graphical user interfaces. We welcome works from all the scientists and expert engineers in the relevant research domains. Please do not hesitate to reach out to the guest editors for more details.

Dr. Kaan Akşit
Guest Editor

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Keywords

  • optics
  • displays
  • gaze
  • eye
  • sensors
  • cameras
  • holography
  • optimization
  • learned algorithms

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Published Papers

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