6 posts
Noah Kalina’s averaged face over 7,777 days

Noah Kalina has been taking a picture of himself every day since January 11, 2000. He posted time-lapse videos in 2007, 2012, and 2020. Last year was the 20th of the project. Usually Kalina’s videos are a straight up time-lapse using every photo. But in this collaboration with Michael Notter, 7,777 Days shows a smoother passage of time. Notter used machine learning to align the face pictures, and then each...

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Fake faces created by AI and where this might be headed

It’s grown easier and easier to generate fake faces with AI. For The New York Times, Kashmir Hill and Jeremy White demonstrate the tech with a slick interactive. Quickly adjust age, eye, mood, and gender. All fake. It was only a few years ago when the idea seemed novel. One year later, there were guides (and warnings) for spotting fake faces. By 2019, there was a marketplace for fake faces...

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Face depixelizer with machine learning, and some assumptions

In crime shows, they often have this amazing tool that turns a low-resolution, pixelated image of a person’s face to a high-resolution, highly accurate picture of the perp. Face Depixelizer is a step towards that with machine learning — except it seems to assume that everyone looks the same. There might still be some limitations. Tags: bias, face, pixels

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Reconstructing faces from brain waves

Researchers attached electrodes to neurons in monkeys, showed them pictures of faces, and then reconstructed the faces reading brain waves. After decades of work, scientists at Caltech may have finally cracked our brain’s facial recognition code. Using brain scans and direct neuron recording from macaque monkeys, the team found specialized “face patches” that respond to specific combinations of facial features. Like dials on a music mixer, each patch is fine-tuned...

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DNA face estimation

Parabon NanoLabs is working on a service that provides face estimates using DNA found at crime scenes. Pretty cool. But, before anyone gets too excited, keep in mind that the estimates are still really rough. Greytak agrees Snapshot is not super-precise, nor is the science ready for it to be. "Our goal is not to produce a profile that is perfectly accurate and there is only one person you've ever...

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