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Fourier Optics used for Optical Pattern Recognition

Huygens OpticsRecommended by 5 HN commenters across 5 months, 2021–2025
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explainer · intermediate · evergreen · 2021–2025 on HN

Huygens Optics explains the Fourier transform and shows how a lens performs one optically. A DLP projector is used as a Fourier filter to do simple pattern recognition on lithographic character patterns.

Recommended as one of the best explanations of Fourier transforms and a clear demo of analog optical computing.

9 comments from Hacker News

@jstrieb2022-08 · in “AI-designed camera only records objects of interest while being blind to others”

Reminds me of this really cool video about using Fourier Optics for optical pattern recognition.[1] The video happens to have one of the best explanations of Fourier transforms I've yet encountered. 1: ▶ this video

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@orlp2022-06 · in “Photonic Chip Performs Image Recognition at the Speed of Light”

For a somewhat related topic (analog image recognition), for those interested, I can highly recommend this video: ▶ this video

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@jstrieb2021-09 · in “Moiré No More”

I was introduced to this idea in a really cool video about using Fourier Optics for optical pattern recognition.[0] The video happens to have one of the best explanations of Fourier transforms I've yet encountered. [0] ▶ this video

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@infogulch2025-01 · in “Detecting edges of images at the speed of light”

Huygens Optics has a great video "Fourier Optics used for Optical Pattern Recognition". He starts with explaining the Fourier Transform wrt audio, then demonstrates a physical filter that screens the resulting convolution pattern to identify matches. Very cool: ▶ this video

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@CamperBob22024-05 · in “AI Needs Enormous Computing Power. Could Light-Based Chips Help?”

You could think of a lens as a "Fourier transformer," not in the LLM sense directly but in the sense of something that executes a Fourier transform. See the excellent videos by Huygens Optics including this one: ▶ this video entitled "Fourier optics used for optical pattern recognition." Having established that, well, it's not hard to imagine that something that's good at running Fourier transforms is probably good for other situations where you need to run a lot of dot products in parallel. That, in turn, should sound like an awfully familiar problem...

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