Machines are taught from flat images. How can they be expected to create 3D from this?
Humans learn from binocular vision, and from multiple angles as we move around an object, making it a lot easier to get an idea of its shape.
My daughter aged 18 months could already recognise abstract signs like the mother and baby or disabled sign just from knowing the real object. Which must say something about the way she stored the representations of them.
Anyone know of a visual recognition AI being trained also with depth data? Would be interested to see what difference it makes.
This relates to something else I noticed differently about my daughter learning. You can show her one photo of a lion, from one angle and she will recognise other lions later on, at different angles. I think she must have seen enough animals already from many angles to have generalised their shape and then be able to presume the new animal is similar and just see the new characteristics like a mane. Something very different is happening in Human brains!