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Cloud images that are recognized as human faces by a face-detection algorithm

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Re: Cloud images that are recognized as human faces by a face-detection algorithm

#2
> ‘Cloud Face’ is a collection of cloud images that are recognized as human face by a face-detection algorithm. It is a result of computer’s vision error, but they often look like faces to human eyes, too. This work attempts to examine the relation between computer vision and human vision.

Re: Cloud images that are recognized as human faces by a face-detection algorithm

#4
This is the basis of "artificial creativity". Train these NNs to recognize faces (or anything else, maybe especially everything else), and then run random noise through them. See what they come up with.

You could have an algorithm coming up with some pretty decent (and original) cartoon faces. Or with art, abstract or not.

This is what your brain does.

Re: Cloud images that are recognized as human faces by a face-detection algorithm

#5

This is the basis of "artificial creativity". Train these NNs to recognize faces (or anything else, maybe especially everything else), and then run random noise through them. See what they come up with. You could have an algorithm coming up with some pretty decent (and original) cartoon faces. Or with art, abstract or not. This is what your brain does.

Now we just need a 90s Drug PSA spoof,

"This is your brain. This is your brain on neural networks. A cloud is not a face. Neural nets, not even once."

Re: Cloud images that are recognized as human faces by a face-detection algorithm

#6
We do tend to "see" patterns that associate to built-in or learned abstractions, such as faces (or elephants, etc.) in clouds. This is especially the case when social reinforcement is a factor, like when someone points skyward and asks, "don't you see a face in that cloud?" and soon everyone standing nearby agrees it sure looks like a face.

That computers are "fooled" may simply reflect their human programming, though not being fooled could well be a very hard problem to solve.

It's amusing the way face-detection in my spiffy digital camera (an Olympus EM1) will find faces in all kinds of inanimate objects. The feature can be useful for photographing real people, but in other situations face-detection is just a distraction and I keep it turned off.

Though now I may have to aim the camera at a few clouds...

Re: Cloud images that are recognized as human faces by a face-detection algorithm

#7

This is the basis of "artificial creativity". Train these NNs to recognize faces (or anything else, maybe especially everything else), and then run random noise through them. See what they come up with. You could have an algorithm coming up with some pretty decent (and original) cartoon faces. Or with art, abstract or not. This is what your brain does.

That doesn't sound right. You suggest if you give the computer something that looks like a face, then add a filter, it has somehow created an idea on its own. Yet you are still telling the computer what to do, it has done nothing creative on its own. I'd venture that real "creativity" is the reverse ... the ability to create something that is recognizable as a face.

Re: Cloud images that are recognized as human faces by a face-detection algorithm

#10
post #7

This is the basis of "artificial creativity". Train these NNs to recognize faces (or anything else, maybe especially everything else), and then run random noise through them. See what they come up with. You could have an algorithm coming up with some pretty decent (and original) cartoon faces. Or with art, abstract or not. This is what your brain does.

That doesn't sound right. You suggest if you give the computer something that looks like a face, then add a filter, it has somehow created an idea on its own. Yet you are still telling the computer what to do, it has done nothing creative on its own. I'd venture that real "creativity" is the reverse ... the ability to create something that is recognizable as a face.

Random input filtered by face detection does create new faces. It's just a different method of creating faces than one that derives a face from the parameters of the face filter (which is more like how a human would do it), but either way, you get new output that is identifiable and identified as a face.

Yes, the computer is biased by your input of the face detection filter, but how is that any different than a human's cultural biases? The only real differences are purely internal details.

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