Snapchat finally releases three special Lenses showcased at Apple iPhone X launch

Steve Phelps
April 7, 2018

The masks do a decent job covering up your glasses (if that's what you want), but you're out of luck if you want your glasses on top of them (we tried).

Apple's camera works by projecting 30,000 invisible dots onto your face and analysing the image to calculate the precise depth map of your face.

Sadly, it's impossible for Snapchat to add these high-quality filters to older iPhone models.

According to developer's agreement, third-party app makers can only access to visual facial mapping data, not the mathematical representation of it that is used to unlock the iPhone X through Face ID.

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The lenses are compatible with iPhone X only as mentioned earlier.

It has just rolled out three new filters including the Warrior's mask, a tiara and an "ornate, bejewelled" face mask.

These TrueDepth-powered masks were first demoed by Craig Federighi at the iPhone X announcement event in September 2017. It's not clear how long these iPhone X masks will stay in the rotation ... or if Snapchat plans to develop any more in future. Well, roughly seven months later, iPhone X users are now starting to see the three special lenses pop up on their devices. Using the depth information allows Snapchat to more accurately pin virtual objects onto a subject's face.

The luchador lens is the plainest of the trio, but it also best demonstrates how these new iPhone X-specific Snapchat lenses work. The filters also react to the light around you and you see accurate light and shadow effects based on your ambient lighting conditions, something the standard lenses don't. Correspondingly, over 180 million global people use Snapchat every day to chat, play, share and capture some pictures, too. Traditionally, AR overlays such as those Snapchat has made popular - like the doggy face or floating sunglasses - use basic facial feature tracking to figure out where they should appear. What developers like Snapchat get, meanwhile, is the facial mapping data alone, with more than fifty micro-movements of things like lips, eyelids, and the nose.

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