Here’s how AI computer vision is transforming photography

AI computer vision is transforming photography

AI computer vision is transforming photography

We’ve now come to expect that every year when all of the major phone companies announce their latest models, that the camera will receive an upgrade. Each year, we can be sure that the mobile industry’s hardware engineers have gone that little bit further in order to one-up the competition. Maybe an extra megapixel or two, maybe a better sensor, or a faster shutter.

But it is only within the last couple of years or so that this hardware arms race has been upset. The battle to create the best camera is no longer a question of hardware (though it doesn’t hurt). The real battle, thanks to the rise of artificial intelligence, is in software.

Today, the most exciting innovations in photography are not thanks to engineers tinkering with metal and glass – they are thanks to algorithms that are making our shots better than ever, and helping us stay organised in the process.

Portrait mode battle

Perhaps the most striking consumer example of this is shooting portraits on our phones. For the last couple of years, some phones use dual rear cameras to sense the depth of the subject in the image, and then apply some sophisticated deep learning to automagically chop out the subject of the photos, and blur the background.

Even for ham-fisted amateur photographers, it can create some truly stunning results that are just begging to be posted on Instagram.

In the future though, AI could take the place of the second camera and enable similar “portrait” style shots with a nice blurry background (or “bokeh” to use the technical term) – but only using the one camera.

How would it work? By using machine learning to do the hard work and pick the objects out of the image. The same algorithms could be applied to the front-facing camera too, making our selfies even better.

Zoom and enhance

The advances with portrait mode though are just scratching the surface of how AI is transforming photography, and there are plenty of examples of how deep learning algorithms are improving our pictures, and doing things that might have once seemed impossible.

For example, if you want to shoot with a professional DSLR but are intimidated by all of the different settings and buttons, AI can come to the rescue.

Arsenal is a tiny device that plugs into your fancy camera – it enables you to not just connect your phone for taking wireless shots, but it can automatically choose the best settings for your shot, having trained its neural network on thousands of existing professional photos.

Photography is being transformed more broadly too: it turns out that Google Street View is probably a better photographer than you’ll ever be.

You might not have thought that photos taken automatically by a car could ever be particularly pretty, but the company trained a neural network on thousands of professional photos and the AI was able to divine the qualities of a decent photo, in terms of lighting, composition and filters and so on.

Then it simply fed in some shots its cars took in California, and the algorithms got to work manipulating the images to make them beautiful. And the results are stunning.

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Article Credit: TechRadar

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