Pupil-Aware Holography

Pupil-Aware Holography
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DOI:
10.1145/3550454.3555508
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发表时间:
2022-03
期刊:
ACM Transactions on Graphics (TOG)
影响因子:
--
通讯作者:
Praneeth Chakravarthula;Seung-Hwan Baek;Ethan Tseng;Andrew Maimone;Grace Kuo;Florian Schiffers;N. Matsuda;O. Cossairt;Douglas Lanman;Felix Heide
Praneeth Chakravarthula;Seung-Hwan Baek;Ethan Tseng;Andrew Maimone;Grace Kuo;Florian Schiffers;N. Matsuda;O. Cossairt;Douglas Lanman;Felix Heide
中科院分区:
其他
文献类型:
--
作者:
Praneeth Chakravarthula;Seung-Hwan Baek;Ethan Tseng;Andrew Maimone;Grace Kuo;Florian Schiffers;N. Matsuda;O. Cossairt;Douglas Lanman;Felix Heide

文献摘要

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全息显示器有望在增强现实应用中提供前所未有的显示能力,具有宽视场,宽色域,空间分辨率和深度线索,所有这些都在紧凑的外形因素中。虽然新兴的全息显示方法已经成功地实现了相机所看到的大直径和高质量的图像,但大直径也揭示了一个使现有显示器不切实际的问题:通过瞳孔对全息场进行采样。现有的方法还没有研究这个问题,因为缺乏足够大的显示器,因此,它们会受到瞳孔大小和位置变化的严重伪影的影响。我们表明,在现有的显示设置中,瞳孔采样的全息场是高度变化的,我们提出了瞳孔感知全息,无论近眼全息显示中瞳孔的大小、位置和方向如何,都能最大限度地提高感知图像质量。我们在仿真和原型全息显示器上验证了所提出的方法,并表明我们的方法消除了严重的伪影,并且显着优于现有方法。
Holographic displays promise to deliver unprecedented display capabilities in augmented reality applications, featuring a wide field of view, wide color gamut, spatial resolution, and depth cues all in a compact form factor. While emerging holographic display approaches have been successful in achieving large étendue and high image quality as seen by a camera, the large étendue also reveals a problem that makes existing displays impractical: the sampling of the holographic field by the eye pupil. Existing methods have not investigated this issue due to the lack of displays with large enough étendue, and, as such, they suffer from severe artifacts with varying eye pupil size and location. We show that the holographic field as sampled by the eye pupil is highly varying for existing display setups, and we propose pupil-aware holography that maximizes the perceptual image quality irrespective of the size, location, and orientation of the eye pupil in a near-eye holographic display. We validate the proposed approach both in simulations and on a prototype holographic display and show that our method eliminates severe artifacts and significantly outperforms existing approaches.