优化视觉和视觉:关于相机、显示器和感知的讲座

Koray Kavaklı, David R. Walton, N. Antipa, Rafał K. Mantiuk, Douglas Lanman, K. Akşit
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引用次数: 5

摘要

互联网的进化正在进行中,沉浸式虚拟3D环境(通常被称为虚拟世界或电视生活)将取代平面2D界面。这种转变的关键因素是下一代显示器和相机,在满足人类视觉系统感知需求的同时,呈现真正的3D视觉效果。本课程将为面向沉浸式虚拟3D环境的下一代界面提供快节奏的优化方法介绍。首先,我们将介绍用于高维压缩感知的无镜头相机(例如,单次曝光捕获视频或一次性3D)。我们的观众将学习处理图像从无镜头的相机在最后。其次,我们介绍了全息显示作为下一代显示的潜在候选。在本课程结束时,您将学习如何创建可以使用标准全息显示器查看的3D图像。最后,我们将介绍感知引导,这可能是显示器和相机优化程序的一个组成部分。我们的观众将在整合感知显示和相机优化方面积累经验。本课程面向广泛的受众,从领域专家到新手。为此,本课程中的示例将基于我们的内部工具包,以供将来使用。课程材料将提供示例代码和对相机,显示器和感知的关键信息的广泛调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing vision and visuals: lectures on cameras, displays and perception
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.
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