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量化的人类眼睛深度感知的最优分配用于多焦点 3D 显示设计。

Optimal allocation of quantized human eye depth perception for multi-focal 3D display design.

出版信息

Opt Express. 2021 Mar 29;29(7):9878-9896. doi: 10.1364/OE.412373.

DOI:10.1364/OE.412373
PMID:33820153
Abstract

Creating immersive 3D stereoscopic, autostereoscopic, and lightfield experiences are becoming the center point of optical design of future head mounted displays and lightfield displays. However, despite the advancement in 3D and light field displays, there is no consensus on what are the necessary quantized depth levels for such emerging displays at stereoscopic or monocular modalities. Here we start from psychophysical theories and work toward defining and prioritizing quantized levels of depth that would saturate the human depth perception. We propose a general optimization framework, which locates the depth levels in a globally optimal way for band limited displays. While the original problem is computationally intractable, we manage to find a tractable reformulation as maximally covering a region of interest with a selection of hypographs corresponding to the monocular depth of field profiles. The results indicate that on average 1731 stereoscopic and 7 monocular depth levels (distributed optimally from 25 cm to infinity) would saturate the visual depth perception. Such that adding further depth levels adds negligible improvement. Also the first 3 depth levels should be allocated at (148), then (83, 170), then (53, 90, 170) distances respectively from the face plane to minimize the monocular error in the entire population. The study further discusses the 3D spatial profile of the quantized stereoscopic and monocular depth levels. The study provides fundamental guidelines for designing optimal near eye displays, light-field monitors, and 3D screens.

摘要

创建沉浸式 3D 立体、自动立体和光场体验正成为未来头戴式显示器和光场显示器光学设计的中心点。然而,尽管 3D 和光场显示器取得了进展,但对于立体或单眼模式下新兴显示器所需的量化深度级别,尚未达成共识。在这里,我们从心理物理学理论出发,努力定义和确定可使人类深度感知饱和的量化深度级别。我们提出了一个通用的优化框架,该框架以全局最优的方式为带限显示器定位深度级别。虽然原始问题在计算上是不可行的,但我们设法找到了一个可解的公式,通过选择与单眼景深轮廓相对应的多个剖面图来最大程度地覆盖感兴趣区域。结果表明,平均需要 1731 个立体和 7 个单眼深度级别(从 25cm 到无穷远最佳分布)才能使视觉深度感知饱和。因此,增加更多的深度级别只会带来微不足道的改进。此外,前三个深度级别应分别分配在(148)、(83、170)和(53、90、170)的距离处,以尽量减少整个群体中单眼误差。该研究进一步讨论了量化立体和单眼深度级别的 3D 空间分布。该研究为设计最佳近眼显示器、光场监视器和 3D 屏幕提供了基本准则。

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