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PhyCV: The First Physics-inspired Computer Vision Library

2023-01-29 20:16:15
Yiming Zhou, Callen MacPhee, Madhuri Suthar, Bahram Jalali

Abstract

PhyCV is the first computer vision library which utilizes algorithms directly derived from the equations of physics governing physical phenomena. The algorithms appearing in the current release emulate, in a metaphoric sense, the propagation of light through a physical medium with natural and engineered diffractive properties followed by coherent detection. Unlike traditional algorithms that are a sequence of hand-crafted empirical rules, physics-inspired algorithms leverage physical laws of nature as blueprints for inventing algorithms. In addition, these algorithms have the potential to be implemented in real physical devices for fast and efficient computation in the form of analog computing. This manuscript is prepared to support the open-sourced PhyCV code which is available in the GitHub repository: this https URL

Abstract (translated)

PhyCV 是首个利用物理学方程控制物理现象的算法库,其当前版本使用了比喻意义上的模拟方式,类似于光线通过具有自然和工程学的衍射特性的物理介质后,再进行相干检测。与传统算法不同的是,基于物理学思想的算法利用自然界物理定律作为发明的算法的蓝图。此外,这些算法具有可能在真实物理设备上实现的潜力,以模拟数字计算的形式进行快速高效计算。本手稿准备支持在 GitHub 存储库中公开开源的 PhyCV 代码:这个 https URL。

URL

https://arxiv.org/abs/2301.12531

PDF

https://arxiv.org/pdf/2301.12531.pdf


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