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This seems very obvious. Machines are taught from flat images. How can they be expected to create 3D from this? Humans learn from binocular vision, and from m

This seems very obvious. 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.

The_rationalist 7y ago
Why not use two cameras for training AI then?
- zild3d 7y ago
  pictures uploaded to facebook and google were only taken by 1 camera :P
- jonplackett 7y ago
  Because they’re using existing data. You need thousands, maybe millions of images to train an AI to recognise something well, and only recognise the right characteristics. No-one has the resources to go take all those photos themselves. 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!
  - The_rationalist 7y ago
    You are right and it would be interesting to quantify how much it could improve AI if datasets were binoculars.
kchamplewski 7y ago
Are children who lose one eye at a very young age unable to see and identify 3D objects?
- mkl 7y ago
  They don't see flat static images, but a continuous stream of input that changes view angle constantly as they and the object make subtle movements. Moreover, they can interact with things and gather more visual information where needed. (Anything too big to interact directly with is probably too far away for binocular depth perception to be of much use.) See a big list of monocular depth cues here: https://en.wikipedia.org/wiki/Depth_perception https://en.wikipedia.org/wiki/Depth_perception

The_rationalist 7y ago

Why not use two cameras for training AI then?

zild3d 7y ago
pictures uploaded to facebook and google were only taken by 1 camera :P
jonplackett 7y ago
Because they’re using existing data. You need thousands, maybe millions of images to train an AI to recognise something well, and only recognise the right characteristics. No-one has the resources to go take all those photos themselves. 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!
- The_rationalist 7y ago
  You are right and it would be interesting to quantify how much it could improve AI if datasets were binoculars.

kchamplewski 7y ago

Are children who lose one eye at a very young age unable to see and identify 3D objects?

mkl 7y ago
They don't see flat static images, but a continuous stream of input that changes view angle constantly as they and the object make subtle movements. Moreover, they can interact with things and gather more visual information where needed. (Anything too big to interact directly with is probably too far away for binocular depth perception to be of much use.) See a big list of monocular depth cues here: https://en.wikipedia.org/wiki/Depth_perception https://en.wikipedia.org/wiki/Depth_perception