The AF features of Fujifilm X-T3 are pretty impressive, judging from the tests so far. But it doesn’t only work well with native lenses: the X-T3 nails focus even with a 600mm lens paired with a Fringer adapter. In this video from Fringer, check out how well the Fujifilm XT-3 performs even with a non-native, adapted telephoto lens.
This man used iPhone X’s face-tracking to make his face invisible
Japanese app developer Kazuya Noshiro has recently introduced an app he’s working on. It uses iPhone X’s face-tracking feature in the creepiest and the coolest way possible: it makes his face invisible. In a short video he shared, he shows off his see-through face and the room behind him. It’s unsettling and amazing at the same time.
Instagram’s evolution into Snapchat deepens with facial filters and new creative features
It’s not really a secret that Facebook wants Snapchat. They offered to buy them, and Snapchat refused. So, now Facebook seem to be working as hard as they can to introduce Snapchat-like features into all of their platforms. It started with Instagram adding basic stories, which then spread to Facebook and WhatsApp. Every new version seems to add a little something extra that Snapchat users will be familiar with.
Now, no surprise, facial filters have finally come to Instagram. It was inevitable, really. But it took a while. It’s understandable why some features are taking a while to show up, though. Not all Instagram users have tried Snapchat (I hadn’t, until recently). Adding everything all at once can be a little overwhelming to existing users. So introducing it a bit at a time eases that transition to where Instagram wants to be.
Hackers can now use social media photos to bypass face detection security
The internet is slowly (and painfully) discovering that security is a hard mistress. I mean fingerprints have been hacked, and passwords have not been delivering for a long time. Next step was having a camera look at your face to see if you are really you.
Of course, the early systems could be hacked with a high quality printed photo. So security added a “check if it’s alive” method. That in turn was hacked using tablets and videos. The next step was to check if the received images makes sense (so videos were out). But then hackers started using 3D printed masks.
But 3D masks are hard to create. Why not just grab a few of your social media photos, and use those to create a model that looks so real that it fools security systems.
And this is what the team at University of North Carolina did.
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