CHS: Small: Towards Photorealistic Augmented and Virtual Reality Displays
CHS: Small: Towards Photorealistic Augmented and Virtual Reality Displays
批准号:
2008464
负责人:
Aswin Sankaranarayanan
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-08-01 至 2024-07-31
中文摘要
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英文摘要
The holy grail for a 3D display is to produce a scene that, to our eyes, is indistinguishable from reality. Despite significant advances in display technology, simultaneous deception of all perceptual depth cues is still beyond the reach of most displays. As a consequence, existing 3D displays, especially those used in Augmented / Virtual Reality (AR/VR) applications, tend to cause discomfort due to subtle differences between the real and the virtual world. This project aims to develop novel 3D photorealistic display designs that ensure that the light field incident on the eye mimics reality at a significantly higher level of fidelity as compared to existing designs. The development of such a technology stands to impact a broad range of disciplines and applications that go beyond AR/VR systems and applications, such as ophthalmology, and testing of optical systems. Further, as the visual realism of displayed content gets better, they stand to replace standard 2D monitors that are ubiquitous in work and home environments today. These photorealistic displays will have the potential to make AR/VR systems more accessible for visually impaired people. The education and outreach components of this project disseminates display research and demos in middle and high schools in the greater Pittsburgh region via lab visits, and hands-on workshops.To achieve the goal of photorealistic AR/VR displays, this project explores differ approaches for modeling of the virtual world and focuses on the development of three distinct approaches that progressively increase realism at the cost of complexity: (i) simple models in form of depth and texture decomposition; (ii) light field representations that provide a dense sampling of the ray space; (iii) coherent wavefronts using Fourier optics. All the three approaches aim to produce light fields that are dense in spatial and angular resolution even though the underlying physical mechanisms rely on different models for light transport. The project will develop techniques for generating content that is easily adapted to the requirements of the display. The project also explores and characterizes the fundamental properties and features in terms of achievable spatial and angular resolutions, the precision in depiction of occlusion, the size of the eye-box, and finally their limitations.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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Single-Shot VR
单次 VR
DOI:
10.1145/3588037.3595396
发表时间:
2023
期刊:
SIGGRAPH Emerging Technologies
影响因子:
--
作者:
[Qin, Yingsi, Chen, Wei-Yu, O'Toole, Matthew, Sankaranarayanan, Aswin C.]
通讯作者:
Sankaranarayanan, Aswin C.
DOI:
10.1109/cvpr52729.2023.01594
发表时间:
2023-01
期刊:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
影响因子:
--
作者:
[Benjamin Attal;Jia-Bin Huang;Christian Richardt;Michael Zollhoefer;J. Kopf;Matthew O’Toole;Changil Kim]
通讯作者:
Benjamin Attal;Jia-Bin Huang;Christian Richardt;Michael Zollhoefer;J. Kopf;Matthew O’Toole;Changil Kim
DOI:
10.1109/cvpr52729.2023.00423
发表时间:
2023-06
期刊:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
影响因子:
--
作者:
[Byeongjoo Ahn;Michael De Zeeuw;Ioannis Gkioulekas;Aswin C. Sankaranarayanan]
通讯作者:
Byeongjoo Ahn;Michael De Zeeuw;Ioannis Gkioulekas;Aswin C. Sankaranarayanan
Split-Lohmann Multifocal Displays
Split-Lohmann 多焦点显示器
DOI:
--
发表时间:
2023
期刊:
ACM Transactions on Graphics
影响因子:
6.2
作者:
[Qin, Yingsi, Chen, Wei-Yu, O'Toole, Matthew, Sankaranarayanan, Aswin C.]
通讯作者:
Sankaranarayanan, Aswin C.
DOI:
--
发表时间:
2021-09
期刊:
ArXiv
影响因子:
--
作者:
[Benjamin Attal;Eliot Laidlaw;Aaron Gokaslan;Changil Kim;Christian Richardt;J. Tompkin;Matthew O'Toole]
通讯作者:
Benjamin Attal;Eliot Laidlaw;Aaron Gokaslan;Changil Kim;Christian Richardt;J. Tompkin;Matthew O'Toole
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