为全天佩戴智能眼镜设计小型化成像系统，突破体积与画质的矛盾。
Imaging for All-Day Wearable Smart Glasses
- 提出分布式成像架构，拆分单体镜头以减小模块尺寸
- 实验证明在保持画质前提下，相机模块体积显著缩小
- 适合追求轻便、长时佩戴的可穿戴设备研发者
近年来，智能眼镜技术快速发展，开启了移动计算的新领域。未来智能眼镜需具备全天候可佩戴性，采用小型化设计以满足体积、重量、时尚性和社会接受度的要求，这对解决方案空间带来严峻限制。此外，由于眼镜在任意环境中随佩戴者移动并执行日常活动，成像面临额外挑战。本文系统分析了智能眼镜成像的可能性空间，推导出制约该领域的若干基本极限，探讨这些极限对图像质量与相机模组尺寸的影响，尤其对比了移动手机等同类设备。随后提出一种新型分布式成像方法，在保证画质的前提下，相比传统一体式相机设计显著缩小单个相机模组尺寸。最后通过合成数据和两种原型实现的实拍图像，验证了该方法的特性。
原文摘要 · Abstract (English)
In recent years smart glasses technology has rapidly advanced, opening up entirely new areas for mobile computing. We expect future smart glasses will need to be all-day wearable, adopting a small form factor to meet the requirements of volume, weight, fashionability and social acceptability, which puts significant constraints on the space of possible solutions. Additional challenges arise due to the fact that smart glasses are worn in arbitrary environments while their wearer moves and performs everyday activities. In this paper, we systematically analyze the space of imaging from smart glasses and derive several fundamental limits that govern this imaging domain. We discuss the impact of these limits on achievable image quality and camera module size -- comparing in particular to related devices such as mobile phones. We then propose a novel distributed imaging approach that allows to minimize the size of the individual camera modules when compared to a standard monolithic camera design. Finally, we demonstrate the properties of this novel approach in a series of experiments using synthetic data as well as images captured with two different prototype implementations.
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