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From the article:

> The input to our algorithm is a set of images taken by the user while slightly scanning the scene with a camera/phone [...]

As mrb noticed, this has the side effect that the algorithm removes moving object from the scene, for example cars.

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Yes, but users don't normally 'scan' a scene, they point, focus and click. So if you want to have this work without the 'scanning' element you'll need two offset sensors.

This would be a lot like Google's how "artificial lens blur" feature works[1]. I don't think it would be too difficult to teach a user to move their phone a little to scan the scene.

[1] http://googleresearch.blogspot.com/2014/04/lens-blur-in-new-...

I agree, but this is a usual trick. I remember an algorithm to make a "3D" image with a normal camera that expect the user to scan the scene in a similar way to create a deep map. (I can't find the exact link just now.)

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