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AI Can Recognize Your Face Even If You’re Pixelated

30 点作者 tonybeltramelli超过 8 年前

7 条评论

Gaessaki超过 8 年前
Pixelating and blurring images has long been known to be insufficient in completely obscuring information [1]. In fact, in a lot of computer vision work, the image resolution is reduced to ignore noise and facilitate the workload for algorithms anyway. Completely destroying information through blacking out is preferable.<p>[1] <a href="https:&#x2F;&#x2F;dheera.net&#x2F;projects&#x2F;blur" rel="nofollow">https:&#x2F;&#x2F;dheera.net&#x2F;projects&#x2F;blur</a>
evincarofautumn超过 8 年前
I’m not terribly surprised by this. Downsampling is a really effective way to create a “fingerprint” by which you can identify some data. And that’s essentially how an image-searching service works.
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Houshalter超过 8 年前
I dont know about pixelation, but gaussian blur can be undone mathematically. Pixelation at least destroys the vast majority of the information.
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paulpauper超过 8 年前
if you have the original font, blurring can be defeated . always better to just black out text that you don;t want to to be seen
forgotpwtomain超过 8 年前
Can journalists stop writing &#x27;AI&#x27; everywhere when it&#x27;s just Neural Nets? It&#x27;s all starting to look ridiculous - if you need a popular science friendly word, what&#x27;s wrong with Image Recognition Program?
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chriswarbo超过 8 年前
Reminds me of <a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Christopher_Paul_Neil" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Christopher_Paul_Neil</a>
tmikaeld超过 8 年前
This is based on having the original (unpixelated) image in every case, right?