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Optimizing vision and visuals: lectures on cameras, displays and perception

Kavakli, K; Walton, DR; Antipa, N; Mantiuk, R; Lanman, D; Aksit, K; (2022) Optimizing vision and visuals: lectures on cameras, displays and perception. In: SIGGRAPH '22: ACM SIGGRAPH 2022 Courses. ACM Press: New York, NY, USA. Green open access

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Abstract

The evolution of the internet is underway, where immersive virtual 3D environments (commonly known as metaverse or telelife) will replace flat 2D interfaces. Crucial ingredients in this transformation are next-generation displays and cameras representing genuinely 3D visuals while meeting the human visual system's perceptual requirements. This course will provide a fast-paced introduction to optimization methods for next-generation interfaces geared towards immersive virtual 3D environments. Firstly, we will introduce lensless cameras for high dimensional compressive sensing (e.g., single exposure capture to a video or one-shot 3D). Our audience will learn to process images from a lensless camera at the end. Secondly, we introduce holographic displays as a potential candidate for next-generation displays. By the end of this course, you will learn to create your 3D images that can be viewed using a standard holographic display. Lastly, we will introduce perceptual guidance that could be an integral part of the optimization routines of displays and cameras. Our audience will gather experience in integrating perception to display and camera optimizations. This course targets a wide range of audiences, from domain experts to newcomers. To do so, examples from this course will be based on our in-house toolkit to be replicable for future use. The course material will provide example codes and a broad survey with crucial information on cameras, displays and perception.

Type: Proceedings paper
Title: Optimizing vision and visuals: lectures on cameras, displays and perception
Event: SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference
Location: Vancouver, BC, Canada
Dates: 7 Aug 2022 - 11 Aug 2022
ISBN-13: 9781450393621
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3532720.3535650
Publisher version: https://doi.org/10.1145/3532720.3535650
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10155841
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