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73 points LorenDB | 2 comments | | HN request time: 0.001s | source
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bsimpson ◴[] No.44385795[source]
I know there was extensive testing when face recognition authentication came to smartphones. I wonder how an open source project like this one compares. I suspect there are substantially more false positives/negatives than on a commercially developed version that needs to support everyone to be successful.
replies(2): >>44385935 #>>44390010 #
e-topy ◴[] No.44385935[source]
Apple's Face ID uses what is essentially a 3D camera, a simple 2D color camera cannot compare to that in terms of accuracy.
replies(3): >>44387264 #>>44387402 #>>44387499 #
aniviacat ◴[] No.44387402[source]
AFAIK Pixel phones, including the Pixel 9, only use 2D images for face unlock. So it's definitely possible to reach mainstream quality with conventional cameras.

(Unless you'd argue that the face unlock found on Pixels is not passable either)

replies(1): >>44389269 #
1. MengerSponge ◴[] No.44389269[source]
I don't know how Google does it, but it's possible to extract 3d information from a 2d sensor. You either need a variable focus or phase detection in the sensor.
replies(1): >>44393257 #
2. westurner ◴[] No.44393257[source]
It is possible to infer phase from second order intensity via the Huygens-Steiner theorem for rigid body rotation, FWIU: https://news.ycombinator.com/item?id=42663342 .. https://news.ycombinator.com/item?id=37226121#37226160

Doesn't that mean that any camera can be used to infer phase (and thus depth for face ID, which is a high risk application)?

> variable focus

A light field camera (with "infinite" focus) would also work.