Story of the week: Mobile app that creates 3D images

Seene is a mobile app that is able to create 3D images, without using a specialised camera. The company behind it has been named the UK’s most innovative company on display at Mobile World Congress in Barcelona.

We just discovered the article (which is already more then a few days old) and it really amazes us. It even reminds us of Project Tango, but then for photographs. The video explains how the app just takes a normal photo but also captures depth information. It can then build a depth map to create a sense of a 3D scene as the photo (displaying phone) is moved.

Besides the fun fact, there are also a lot of opportunities with for example 3D printing and online retail.

Their next objective with Seene is to capture a full 3D photograph where you’ll be able to actually look all the way around an object. Something we’ll definitely follow up!

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7 comments

  1. This blew me away, it is one of the coolest apps I have seen in a long time! I am really hoping they make this soon for android, I really can’t wait :D. It is amazing to see what still can be done with the hardware of today.

  2. His constant waving made me nauseous… But it does look cool! I’d bet Apple would be interested in integrating something like this into iOS, for example you could take 3D pictures of your contacts and display them like that in your contact list.

  3. Having followed the course on “Pattern Recognition and Image Interpretation”, I wonder if they need multiple images or extra constraints for the picture. With two (or more) pictures, it’s actually not that complex (requires some epipolar geometry), but if they can do it with only *one* picture, that would really be amazing! It would require parameterized face models I think, so that would however restrict the applicability to only faces of course…

  4. It’s been around since last year October though. BBC seems to be a bit late on this one 😉
    I bet it doesn’t work with shiny objects with lots of reflections!

  5. I’m not sure on how they’ve done it, but I’m guessing they had to use multiple photos together with the phone’s accelerometer and perhaps its gyroscope to get a sense of positioning. If they did it with just one picture, I’d blow my mind.

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